Indoor-Positioning Using RSSI: DOD-Based Technique Versus RSSI-Ranging Technique

Size: px
Start display at page:

Download "Indoor-Positioning Using RSSI: DOD-Based Technique Versus RSSI-Ranging Technique"

Transcription

1 1 IWATE UNIVERSITY JAPAN Indoor-Positioning Using RSSI: DOD-Based Technique Versus RSSI-Ranging Technique Naoki Honma, Ryota Tazawa, Kota Kikuchi, Atsusi Miura, Yusuke Sugawara, Hiroto Minamizawa Graduate School of Engineering, Iwate University Embedded Resource Integration, Inc.

2 Contents 2 Background Indoor positioning techniques relying on RSSI Simulation: comparison study RSSI-ranging versus DOD-triangulation Experiment: performance evaluation Positioning accuracy of DOD-triangulation Hybrid technique: DOD + PDR Conclusion

3 Background 3 Why Indoor Positioning? GNSS Satellite signal is not available in an indoor environment Indoor positioning system using beacons COTS (Commercial-Off-The-Shelf ) devices Accurate? Beacon Beacon Accurate positioning is a key challenge now

4 Well-known Positioning Techniques RSSI:high =near RSSI*-ranging Target RSSI:low =far Poor accuracy for distant target due to multipath Tx1 Tx2 Fingerprinting Measure RSSI Tx3 Database of RSSI Data matching In need of prior-measurement of RSSI distribution Database susceptible to environmental change Another approach? *RSSI:Received Signal Strength Indicator 4

5 BLEGONIO: DOD-Based Positioning Each beacon transmits four BLE a) signals using four different directivities. a) BLE: Bluetooth Low Energy b) DOD: Direction of Departure DOD b) 1 #4 #3 #16 #15 #14 DOD4 Bluetooth signal #1 #2 Bluetooth signal #5 #9 DOD2 #6 #7 #8 #10 #11 #12 DOD3 Bluetooth signal #13 The handset calculates DOD information from RSSIs, and estimates its location by triangulation.

6 Developed Beacon Overview 6 Array antenna Switching circuit Feed network Beacon

7 Microsoft IPSN IPSN 2017 The 16 th ACM/IEEE International Conference on Information Processing in Sensor Networks April 18-21, 2017 Pittsburgh, Pennsylvania, USA Two-floor site Beacons DOD-beacon 38.5m 26m iphone5c

8 Error in Meters Microsoft IPSN Results (2D-category) PDR PDR Our Beacons We got the best record in the radio-wave category

9 Contents 9 Background Indoor positioning techniques relying on RSSI Simulation: comparison study RSSI-ranging versus DOD-triangulation Experiment: performance evaluation Positioning accuracy of DOD-triangulation Hybrid technique: DOD + PDR Conclusion

10 Question: which is better? RSSI-Ranging DOD Triangulation d 1 d i Terminal node θ 1 Terminal node θ i Tx-1 Beacon 1 Tx-i Beacon #i Multipath-fadings Tx-1 Tx-i Beacon 1 Beacon #i DOD-accuracy? No one has compared them using fair conditions. 10

11 Simulation model 11 Rician-fading model k-factor = h LOS F 2 h NLOS F 2 Δφ θ h LOS h NLOS Generating channel h LOS: Direct-path channel h NLOS : Indirect-path channel Channel matrix:h = h LOS + h NLOS Geometric-optics approach Zero-mean gaussian random matrix

12 Simulation model Environment Beacon 2 (0, 25) 37 m 12 Beacon 3 (37, 25) 25 m y (0,0) Beacon 1 p u = (x u, y u ) Terminal node O(0,0) x 3-element array (37, 0) Beacon 4

13 Average distance error [m] Results 13 RSSI-ranging versus DOD-triangulation DOD RSSI Ranging 5.6m 1.1m k-factor [db] DOD-triangulation yields 5-times better accuracy

14 Contents 14 Background Indoor positioning techniques relying on RSSI Simulation: comparison study RSSI-ranging versus DOD-triangulation Experiment: performance evaluation Positioning accuracy of DOD-triangulation Hybrid technique: DOD + PDR Conclusion

15 Experiment 15 Environment Tx Tx m Obstacle 5 m m 31 5 m m m m m 5 m 5 m m Obstacle Tx3 25 m 3 m Tx5 Tx4 y 15 x

16 Experiment 16 Photos Beacon Obstacle Beacon Smart phone (iphone5c)

17 Experiment 17 Example result Estimated DOD P27 Beacons Beacon True Estimated DODs can be well estimated at the mobile terminal

18 CDF [%] Experiment *CDF: Cumulative Distribution Function Overhead 1.05m Browsing * m Distance error [m] High accuracy is attained

19 Contents 19 Background Indoor positioning techniques relying on RSSI Simulation: comparison study RSSI-ranging versus DOD-triangulation Experiment: performance evaluation Positioning accuracy of DOD-triangulation Hybrid technique: DOD + PDR Conclusion

20 Hybrid method: DOD-beacon + PDR * 20 *PDR: Pedestrian dead reckoning PDR: Relative route + Assumed current position: x, y Estimated DOD transition Measured DOD transition Comparison θ 1 0 Tx θ 2 θ n Rx x, y Find position (x, y) with most similar DOD transition 20

21 DOD Hybrid method: DOD-beacon + PDR Tx DOD transition Rx θ DOD 0 Relative route by PDR x, y Time Find position (x, y) with most similar DOD transition 21

22 Measurement setup -20 N Measurement conditions Route Length Meas. period A 3.0m 15 s B 4.0m C 9.2 m 30 s D 12.0 m Handset iphone 5c Num. of beacons 4 Height of ant m Signal Bluetooth (2.4GHz) Faculty / Graduate School of Engineering, Num. Iwate of trials 22 University, 30 Japan times/ route

23 Environment Rx Tx2 Tx3 Tx m Tx1 D C A B 23

24 Acceleration [m/s 2 ] PDR by counting vertical acceleration variance Example: acceleration raw data 2 Acceleration Detected step Time [s] Footsteps are easily detected using COTS * device *COTS : Commercially-off-the-shelf 24

25 Route estimation by PDR only Tx2 Tx3 [m] 1 0 Actual Estimation -1-2 Route D -3 Tx1 Tx Well estimate relative route [m] 25

26 DOD [deg] Estimating DOD transition Tx2 3 2 Tx Correct (x, y) Observed PDR 1 PDR 2 PDR 3 0 Route D Tx1 Tx4 Observed at Tx Time [s] Examples of DOD transition Correct route yields DOD transition similar to observed one 26

27 Estimation example 1 Tx Actual pos. Estimated pos. Actual route Estimated route [deg] Position is successfully estimated by proposed method 27

28 Accuracy comparison 1 Method A B C D Average Hybrid method 0.32 m 0.28 m 0.50 m 0.51 m 0.40 m DOD only 0.41 m 0.88 m 0.58 m 1.99 m 0.97 m Average 0.97 m (DOD only) 0.40 m (hybrid): two-fold improvement 28

29 Contents 29 Background Indoor positioning techniques relying on RSSI Simulation: comparison study RSSI-ranging versus DOD-triangulation Experiment: performance evaluation Positioning accuracy of DOD-triangulation Hybrid technique: DOD + PDR Conclusion

30 Conclusion 30 Indoor-Positioning Using RSSI RSSI-ranging technique vs. DOD-based technique Two RSSI-based methods are compared RSSI-ranging: RSSI is directly translated to distance DOD-triangulation: RSSI difference is translated to DODs Simulation DOD-triangulation yields five-fold higher k = 10 db Experiment in indoor environment DOD only: Accuracy: 1.05 ~1.21 DOD+PDR: Accuracy: 0.4

31 31 Thank you! Contact: Naoki Honma, Iwate Univ.: Atsushi Miura, ERi, Inc.: honma[at]iwate-u.ac.jp miura[at]erii.co.jp

ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization

ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization ALPS: A Bluetooth and Ultrasound Platform for Mapping and Localization Patrick Lazik, Niranjini Rajagopal, Oliver Shih, Bruno Sinopoli, Anthony Rowe Electrical and Computer Engineering Department Carnegie

More information

Antenna arrangements realizing a unitary matrix for 4 4 LOS-MIMO system

Antenna arrangements realizing a unitary matrix for 4 4 LOS-MIMO system Antenna arrangements realizing a unitary matrix for 4 4 LOS-MIMO system Satoshi Sasaki a), Kentaro Nishimori b), Ryochi Kataoka, and Hideo Makino Graduate School of Science and Technology, Niigata University,

More information

Compact Antenna Arrangement for MIMO Sensor in Indoor Environment

Compact Antenna Arrangement for MIMO Sensor in Indoor Environment IEICE TRANS. COMMUN., VOL.E96 B, NO.10 OCTOBER 2013 2491 PAPER Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2012 Compact Antenna Arrangement for

More information

Agenda Motivation Systems and Sensors Algorithms Implementation Conclusion & Outlook

Agenda Motivation Systems and Sensors Algorithms Implementation Conclusion & Outlook Overview of Current Indoor Navigation Techniques and Implementation Studies FIG ww 2011 - Marrakech and Christian Lukianto HafenCity University Hamburg 21 May 2011 1 Agenda Motivation Systems and Sensors

More information

1. MIMO capacity basics

1. MIMO capacity basics Introduction to MIMO: Antennas & Propagation aspects Björn Lindmark. MIMO capacity basics. Physical interpretation of the channel matrix Example x in free space 3. Free space vs. multipath: when is scattering

More information

IoT. Indoor Positioning with BLE Beacons. Author: Uday Agarwal

IoT. Indoor Positioning with BLE Beacons. Author: Uday Agarwal IoT Indoor Positioning with BLE Beacons Author: Uday Agarwal Contents Introduction 1 Bluetooth Low Energy and RSSI 2 Factors Affecting RSSI 3 Distance Calculation 4 Approach to Indoor Positioning 5 Zone

More information

Radio Propagation and Networks Research. Costas Constantinou School of Electronic, Electrical & Computer Engineering 10 June 2013

Radio Propagation and Networks Research. Costas Constantinou School of Electronic, Electrical & Computer Engineering 10 June 2013 Radio Propagation and Networks Research Costas Constantinou School of Electronic, Electrical & Computer Engineering 10 June 2013 Introduction Healthcare 40 % of critical-care time spent manually recording

More information

Experimental Evaluation Scheme of UWB Antenna Performance

Experimental Evaluation Scheme of UWB Antenna Performance Tokyo Tech. Experimental Evaluation Scheme of UWB Antenna Performance Sathaporn PROMWONG Wataru HACHITANI Jun-ichi TAKADA TAKADA-Laboratory Mobile Communication Research Group Graduate School of Science

More information

Bringing Navigation Indoors

Bringing Navigation Indoors Bringing Navigation Indoors Fabio Belloni Principal Researcher NRC Radio Systems Laboratory Finland Contents Why going indoors? Use cases, opportunities, and challenges Cognitive Positioning Hybrid positioning

More information

Next Generation Positioning Overview and Challenges

Next Generation Positioning Overview and Challenges Next Generation Positioning Overview and Challenges Authors: Name Affiliation Address Phone Email Jonathan Segev Intel +972-54-2403587 jonathan.segev@intel.com Peter Thornycroft Aruba pthornycroft@arubanetworks.com

More information

PinPoint Localizing Interfering Radios

PinPoint Localizing Interfering Radios PinPoint Localizing Interfering Radios Kiran Joshi, Steven Hong, Sachin Katti Stanford University April 4, 2012 1 Interference Degrades Wireless Network Performance AP1 AP3 AP2 Network Interference AP4

More information

An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study

An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study sensors Article An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study Jenny Röbesaat 1, Peilin Zhang 2, *, Mohamed Abdelaal 3 and Oliver Theel 2 1 OFFIS Institut für Informatik,

More information

WLAN Location Methods

WLAN Location Methods S-7.333 Postgraduate Course in Radio Communications 7.4.004 WLAN Location Methods Heikki Laitinen heikki.laitinen@hut.fi Contents Overview of Radiolocation Radiolocation in IEEE 80.11 Signal strength based

More information

ZigBee Propagation Testing

ZigBee Propagation Testing ZigBee Propagation Testing EDF Energy Ember December 3 rd 2010 Contents 1. Introduction... 3 1.1 Purpose... 3 2. Test Plan... 4 2.1 Location... 4 2.2 Test Point Selection... 4 2.3 Equipment... 5 3 Results...

More information

Hardware-free Indoor Navigation for Smartphones

Hardware-free Indoor Navigation for Smartphones Hardware-free Indoor Navigation for Smartphones 1 Navigation product line 1996-2015 1996 1998 RTK OTF solution with accuracy 1 cm 8-channel software GPS receiver 2004 2007 Program prototype of Super-sensitive

More information

PhaseU. Real-time LOS Identification with WiFi. Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, Mingyan Liu

PhaseU. Real-time LOS Identification with WiFi. Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, Mingyan Liu PhaseU Real-time LOS Identification with WiFi Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, Mingyan Liu Tsinghua University Hong Kong University of Science and Technology University of Michigan,

More information

EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY. Why do we need UWB channel models?

EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY. Why do we need UWB channel models? Wireless Communication Channels Lecture 9:UWB Channel Modeling EITN85, FREDRIK TUFVESSON, JOHAN KÅREDAL ELECTRICAL AND INFORMATION TECHNOLOGY Overview What is Ultra-Wideband (UWB)? Why do we need UWB channel

More information

PAPER Experimental Evaluation of Passive MIMO Transmission with Load Modulation for RFID Application

PAPER Experimental Evaluation of Passive MIMO Transmission with Load Modulation for RFID Application IEICE TRANS. COMMUN., VOL.E97 B, NO.7 JULY 2014 1467 PAPER Experimental Evaluation of Passive MIMO Transmission with Load Modulation for RFID Application Keisuke TERASAKI a), Student Member and Naoki HONMA,

More information

Handset MIMO antenna measurement using a Spatial Fading Emulator

Handset MIMO antenna measurement using a Spatial Fading Emulator Handset MIMO antenna measurement using a Spatial Fading Emulator Atsushi Yamamoto Panasonic Corporation, Japan Panasonic Mobile Communications Corporation, Japan NTT DOCOMO, INC., Japan Aalborg University,

More information

LETTER Numerical Analysis on MIMO Performance of the Modulated Scattering Antenna Array in Indoor Environment

LETTER Numerical Analysis on MIMO Performance of the Modulated Scattering Antenna Array in Indoor Environment 1752 LETTER Numerical Analysis on MIMO Performance of the Modulated Scattering Antenna Array in Indoor Environment Lin WANG a), Student Member,QiangCHEN, Qiaowei YUAN, Members, and Kunio SAWAYA, Fellow

More information

1 Interference Cancellation

1 Interference Cancellation Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.829 Fall 2017 Problem Set 1 September 19, 2017 This problem set has 7 questions, each with several parts.

More information

Abderrahim Benslimane, Professor of Computer Sciences Coordinator of the Faculty of Engineering Head of the Informatic Research Center (CRI)

Abderrahim Benslimane, Professor of Computer Sciences Coordinator of the Faculty of Engineering Head of the Informatic Research Center (CRI) Wireless Sensor Networks for Smart Environments: A Focus on the Localization Abderrahim Benslimane, Professor of Computer Sciences Coordinator of the Faculty of Engineering Head of the Informatic Research

More information

PERFORMANCE OF MOBILE STATION LOCATION METHODS IN A MANHATTAN MICROCELLULAR ENVIRONMENT

PERFORMANCE OF MOBILE STATION LOCATION METHODS IN A MANHATTAN MICROCELLULAR ENVIRONMENT PERFORMANCE OF MOBILE STATION LOCATION METHODS IN A MANHATTAN MICROCELLULAR ENVIRONMENT Miguel Berg Radio Communication Systems Lab. Dept. of Signals, Sensors and Systems Royal Institute of Technology

More information

Antennas and Propagation. Chapter 6b: Path Models Rayleigh, Rician Fading, MIMO

Antennas and Propagation. Chapter 6b: Path Models Rayleigh, Rician Fading, MIMO Antennas and Propagation b: Path Models Rayleigh, Rician Fading, MIMO Introduction From last lecture How do we model H p? Discrete path model (physical, plane waves) Random matrix models (forget H p and

More information

Advanced Communication Systems -Wireless Communication Technology

Advanced Communication Systems -Wireless Communication Technology Advanced Communication Systems -Wireless Communication Technology Dr. Junwei Lu The School of Microelectronic Engineering Faculty of Engineering and Information Technology Outline Introduction to Wireless

More information

One interesting embedded system

One interesting embedded system One interesting embedded system Intel Vaunt small glass Key: AR over devices that look normal https://www.youtube.com/watch?v=bnfwclghef More details at: https://www.theverge.com/8//5/696653/intelvaunt-smart-glasses-announced-ar-video

More information

Ultra Wideband Radio Propagation Measurement, Characterization and Modeling

Ultra Wideband Radio Propagation Measurement, Characterization and Modeling Ultra Wideband Radio Propagation Measurement, Characterization and Modeling Rachid Saadane rachid.saadane@gmail.com GSCM LRIT April 14, 2007 achid Saadane rachid.saadane@gmail.com ( GSCM Ultra Wideband

More information

UWB Channel Modeling

UWB Channel Modeling Channel Modeling ETIN10 Lecture no: 9 UWB Channel Modeling Fredrik Tufvesson & Johan Kåredal, Department of Electrical and Information Technology fredrik.tufvesson@eit.lth.se 2011-02-21 Fredrik Tufvesson

More information

Near-Field Electromagnetic Ranging (NFER) Indoor Location

Near-Field Electromagnetic Ranging (NFER) Indoor Location Near-Field Electromagnetic Ranging (NFER) Indoor Location 21 st Test Instrumentation Workshop Thursday May 11, 2017 Hans G. Schantz h.schantz@q-track.com Q-Track Corporation Sheila Jones sheila.jones@navy.mil

More information

Channel Modeling ETI 085

Channel Modeling ETI 085 Channel Modeling ETI 085 Overview Lecture no: 9 What is Ultra-Wideband (UWB)? Why do we need UWB channel models? UWB Channel Modeling UWB channel modeling Standardized UWB channel models Fredrik Tufvesson

More information

Understanding Advanced Bluetooth Angle Estimation Techniques for Real-Time Locationing

Understanding Advanced Bluetooth Angle Estimation Techniques for Real-Time Locationing Understanding Advanced Bluetooth Angle Estimation Techniques for Real-Time Locationing EMBEDDED WORLD 2018 SAULI LEHTIMAKI, SILICON LABS Understanding Advanced Bluetooth Angle Estimation Techniques for

More information

CS263: Wireless Communications and Sensor Networks

CS263: Wireless Communications and Sensor Networks CS263: Wireless Communications and Sensor Networks Matt Welsh Lecture 3: Antennas, Propagation, and Spread Spectrum September 30, 2004 2004 Matt Welsh Harvard University 1 Today's Lecture Antennas and

More information

Pixie Location of Things Platform Introduction

Pixie Location of Things Platform Introduction Pixie Location of Things Platform Introduction Location of Things LoT Location of Things (LoT) is an Internet of Things (IoT) platform that differentiates itself on the inclusion of accurate location awareness,

More information

Effect of antenna properties on MIMO-capacity in real propagation channels

Effect of antenna properties on MIMO-capacity in real propagation channels [P5] P. Suvikunnas, K. Sulonen, J. Kivinen, P. Vainikainen, Effect of antenna properties on MIMO-capacity in real propagation channels, in Proc. 2 nd COST 273 Workshop on Broadband Wireless Access, Paris,

More information

Presented at IEICE TR (AP )

Presented at IEICE TR (AP ) Sounding Presented at IEICE TR (AP 2007-02) MIMO Radio Seminar, Mobile Communications Research Group 07 June 2007 Takada Laboratory Department of International Development Engineering Graduate School of

More information

Position Location using Radio Fingerprints in Wireless Networks. Prashant Krishnamurthy Graduate Program in Telecom & Networking

Position Location using Radio Fingerprints in Wireless Networks. Prashant Krishnamurthy Graduate Program in Telecom & Networking Position Location using Radio Fingerprints in Wireless Networks Prashant Krishnamurthy Graduate Program in Telecom & Networking Agenda Introduction Radio Fingerprints What Industry is Doing Research Conclusions

More information

Advanced Antenna Technology

Advanced Antenna Technology Advanced Antenna Technology Abdus Salam ICTP, February 2004 School on Digital Radio Communications for Research and Training in Developing Countries Ermanno Pietrosemoli Latin American Networking School

More information

N. Garcia, A.M. Haimovich, J.A. Dabin and M. Coulon

N. Garcia, A.M. Haimovich, J.A. Dabin and M. Coulon N. Garcia, A.M. Haimovich, J.A. Dabin and M. Coulon Goal: Localization (geolocation) of RF emitters in multipath environments Challenges: Line-of-sight (LOS) paths Non-line-of-sight (NLOS) paths Blocked

More information

A 3D Ubiquitous Multi-Platform Localization and Tracking System for Smartphones. Seyyed Mahmood Jafari Sadeghi

A 3D Ubiquitous Multi-Platform Localization and Tracking System for Smartphones. Seyyed Mahmood Jafari Sadeghi A 3D Ubiquitous Multi-Platform Localization and Tracking System for Smartphones by Seyyed Mahmood Jafari Sadeghi A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy

More information

Mobile Security Fall 2015

Mobile Security Fall 2015 Mobile Security Fall 2015 Patrick Tague #8: Location Services 1 Class #8 Location services for mobile phones Cellular localization WiFi localization GPS / GNSS 2 Mobile Location Mobile location has become

More information

User-installable Indoor Positioning System Using a Wi-Fi Beacon and PDR Module

User-installable Indoor Positioning System Using a Wi-Fi Beacon and PDR Module Regular Paper User-installable Indoor Positioning System Using a Wi-Fi Beacon and PDR Module Kensuke Sawada 1,a) Yuichi Hanada 1 Shinichiro Mori 1, 1 Received: December 22, 2015, Accepted: July 5, 2016

More information

Power Delay Profile Analysis and Modeling of Industrial Indoor Channels

Power Delay Profile Analysis and Modeling of Industrial Indoor Channels Power Delay Profile Analysis and Modeling of Industrial Indoor Channels Yun Ai 1,2, Michael Cheffena 1, Qihao Li 1,2 1 Faculty of Technology, Economy and Management, Norwegian University of Science and

More information

Non-Line-Of-Sight Environment based Localization in Wireless Sensor Networks

Non-Line-Of-Sight Environment based Localization in Wireless Sensor Networks Non-Line-Of-Sight Environment based Localization in Wireless Sensor Networks Divya.R PG Scholar, Electronics and communication Engineering, Pondicherry Engineering College, Puducherry, India Gunasundari.R

More information

Overview of Indoor Positioning System Technologies

Overview of Indoor Positioning System Technologies Overview of Indoor Positioning System Technologies Luka Batistić *, Mladen Tomić * * University of Rijeka, Faculty of Engineering/Department of Computer Engineering, Rijeka, Croatia lbatistic@riteh.hr;

More information

Radio Channel Measurements With Relay Link at 780 MHz in an Outdoor to Indoor Propagation Environment

Radio Channel Measurements With Relay Link at 780 MHz in an Outdoor to Indoor Propagation Environment Radio Channel Measurements With Relay Link at 780 MHz in an Outdoor to Indoor Propagation Environment Essi Suikkanen Centre for Wireless Communications University of Oulu Outline Motivation for the Measurements

More information

Low Power Gelocation Solution. Stéphane BOUDAUD CTO Abeeway Jonathan DAVID Polytech Student

Low Power Gelocation Solution. Stéphane BOUDAUD CTO Abeeway Jonathan DAVID Polytech Student Low Power Gelocation Solution Stéphane BOUDAUD CTO Abeeway Jonathan DAVID Polytech Student Disruptive radio technologies is taking off for IoT 2 An estimated 50 billions of connected objects by 2020 [CISCO]

More information

Pilot: Device-free Indoor Localization Using Channel State Information

Pilot: Device-free Indoor Localization Using Channel State Information ICDCS 2013 Pilot: Device-free Indoor Localization Using Channel State Information Jiang Xiao, Kaishun Wu, Youwen Yi, Lu Wang, Lionel M. Ni Department of Computer Science and Engineering Hong Kong University

More information

A MULTI-SENSOR FUSION FOR INDOOR-OUTDOOR LOCALIZATION USING A PARTICLE FILTER

A MULTI-SENSOR FUSION FOR INDOOR-OUTDOOR LOCALIZATION USING A PARTICLE FILTER A MULTI-SENSOR FUSION FOR INDOOR-OUTDOOR LOCALIZATION USING A PARTICLE FILTER Abdelghani BELAKBIR 1, Mustapha AMGHAR 1, Nawal SBITI 1, Amine RECHICHE 1 ABSTRACT: The location of people and objects relative

More information

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks Jack H. Winters May 31, 2004 jwinters@motia.com 12/05/03 Slide 1 Outline Service Limitations Smart Antennas Ad Hoc Networks Smart

More information

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012. Zhu, X., Doufexi, A., & Koçak, T. (2012). A performance enhancement for 60 GHz wireless indoor applications. In ICCE 2012, Las Vegas Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/ICCE.2012.6161865

More information

SpinLoc: Spin Around Once to Know Your Location. Souvik Sen Romit Roy Choudhury, Srihari Nelakuditi

SpinLoc: Spin Around Once to Know Your Location. Souvik Sen Romit Roy Choudhury, Srihari Nelakuditi SpinLoc: Spin Around Once to Know Your Location Souvik Sen Romit Roy Choudhury, Srihari Nelakuditi 2 Context Advances in localization technology = Location-based applications (LBAs) (iphone AppStore: 6000

More information

5.9 GHz V2X Modem Performance Challenges with Vehicle Integration

5.9 GHz V2X Modem Performance Challenges with Vehicle Integration 5.9 GHz V2X Modem Performance Challenges with Vehicle Integration October 15th, 2014 Background V2V DSRC Why do the research? Based on 802.11p MAC PHY ad-hoc network topology at 5.9 GHz. Effective Isotropic

More information

Localization in WSN. Marco Avvenuti. University of Pisa. Pervasive Computing & Networking Lab. (PerLab) Dept. of Information Engineering

Localization in WSN. Marco Avvenuti. University of Pisa. Pervasive Computing & Networking Lab. (PerLab) Dept. of Information Engineering Localization in WSN Marco Avvenuti Pervasive Computing & Networking Lab. () Dept. of Information Engineering University of Pisa m.avvenuti@iet.unipi.it Introduction Location systems provide a new layer

More information

Implementation of RSSI-Based 3D Indoor Localization using Wireless Sensor Networks Based on ZigBee Standard

Implementation of RSSI-Based 3D Indoor Localization using Wireless Sensor Networks Based on ZigBee Standard Implementation of RSSI-Based 3D Indoor Localization using Wireless Sensor Networks Based on ZigBee Standard Thanapong Chuenurajit 1, DwiJoko Suroso 2, and Panarat Cherntanomwong 1 1 Department of Computer

More information

Measured Channel Capacity and AoD. Scenarios

Measured Channel Capacity and AoD. Scenarios Measured Channel Capacity and AoD Estimation for Multi-User MIMO Scenarios Name Affiliations Address Phone email Byung-Jae Kwak ETRI 138 Gajeongno, Yuseong-gu, +82-42-86-6618 bjkwak@etri.re.kr Daejeon,

More information

Probabilistic Link Properties. Octav Chipara

Probabilistic Link Properties. Octav Chipara Probabilistic Link Properties Octav Chipara Signal propagation Propagation in free space always like light (straight line) Receiving power proportional to 1/d² in vacuum much more in real environments

More information

Alzheimer Patient Tracking System in Indoor Wireless Environment

Alzheimer Patient Tracking System in Indoor Wireless Environment Alzheimer Patient Tracking System in Indoor Wireless Environment Prima Kristalina Achmad Ilham Imanuddin Mike Yuliana Aries Pratiarso I Gede Puja Astawa Electronic Engineering Polytechnic Institute of

More information

MOBILE COMPUTING 1/29/18. Cellular Positioning: Cell ID. Cellular Positioning - Cell ID with TA. CSE 40814/60814 Spring 2018

MOBILE COMPUTING 1/29/18. Cellular Positioning: Cell ID. Cellular Positioning - Cell ID with TA. CSE 40814/60814 Spring 2018 MOBILE COMPUTING CSE 40814/60814 Spring 2018 Cellular Positioning: Cell ID Open-source database of cell IDs: opencellid.org Cellular Positioning - Cell ID with TA TA: Timing Advance (time a signal takes

More information

PAPER Fast S-Parameter Calculation Technique for Multi-Antenna System Using Temporal-Spectral Orthogonality for FDTD Method

PAPER Fast S-Parameter Calculation Technique for Multi-Antenna System Using Temporal-Spectral Orthogonality for FDTD Method 1338 PAPER Fast S-Parameter Calculation Technique for Multi-Antenna System Using Temporal-Spectral Orthogonality for FDTD Method Mitsuharu OBARA a), Student Member, Naoki HONMA, Member, and Yuto SUZUKI,

More information

Qosmotec. Software Solutions GmbH. Technical Overview. Qosmotec Propagation Effect Replicator QPER. Page 1

Qosmotec. Software Solutions GmbH. Technical Overview. Qosmotec Propagation Effect Replicator QPER. Page 1 Qosmotec Software Solutions GmbH Technical Overview Qosmotec Propagation Effect Replicator QPER Page 1 TABLE OF CONTENTS 0 DOCUMENT CONTROL...3 0.1 Imprint...3 0.2 Document Description...3 1 SYSTEM DESCRIPTION...4

More information

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks. Plenary Talk at: Jack H. Winters. September 13, 2005

Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks. Plenary Talk at: Jack H. Winters. September 13, 2005 Smart Antenna Techniques and Their Application to Wireless Ad Hoc Networks Plenary Talk at: Jack H. Winters September 13, 2005 jwinters@motia.com 12/05/03 Slide 1 1 Outline Service Limitations Smart Antennas

More information

A method of controlling the base station correlation for MIMO-OTA based on Jakes model

A method of controlling the base station correlation for MIMO-OTA based on Jakes model A method of controlling the base station correlation for MIMO-OTA based on Jakes model Kazuhiro Honda a) and Kun Li Graduate School of Engineering, Toyama University, 3190 Gofuku, Toyama-shi, Toyama 930

More information

Development of a Wireless Communications Planning Tool for Optimizing Indoor Coverage Areas

Development of a Wireless Communications Planning Tool for Optimizing Indoor Coverage Areas Development of a Wireless Communications Planning Tool for Optimizing Indoor Coverage Areas A. Dimitriou, T. Vasiliadis, G. Sergiadis Aristotle University of Thessaloniki, School of Engineering, Dept.

More information

T Mani Bhowmik Dated:

T Mani Bhowmik Dated: T863203 Mani Bhowmik Dated: 23.04.2010 WLAN Is a wireless local area network that uses high frequency radio signals to transmit and receive data over distances of a few hundred feet; uses Ethernet protocol

More information

Mobile Positioning in Wireless Mobile Networks

Mobile Positioning in Wireless Mobile Networks Mobile Positioning in Wireless Mobile Networks Peter Brída Department of Telecommunications and Multimedia Faculty of Electrical Engineering University of Žilina SLOVAKIA Outline Why Mobile Positioning?

More information

Sponsored by. Nisarg Kothari Carnegie Mellon University April 26, 2011

Sponsored by. Nisarg Kothari Carnegie Mellon University April 26, 2011 Sponsored by Nisarg Kothari Carnegie Mellon University April 26, 2011 Motivation Why indoor localization? Navigating malls, airports, office buildings Museum tours, context aware apps Augmented reality

More information

STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR ENVIRONMENT AT 2.15 GHz

STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR ENVIRONMENT AT 2.15 GHz EUROPEAN COOPERATION IN COST259 TD(99) 45 THE FIELD OF SCIENTIFIC AND Wien, April 22 23, 1999 TECHNICAL RESEARCH EURO-COST STATISTICAL DISTRIBUTION OF INCIDENT WAVES TO MOBILE ANTENNA IN MICROCELLULAR

More information

RF Considerations for Wireless Systems Design. Frank Jimenez Manager, Technical Support & Service

RF Considerations for Wireless Systems Design. Frank Jimenez Manager, Technical Support & Service RF Considerations for Wireless Systems Design Frank Jimenez Manager, Technical Support & Service 1 The Presentation Objective We will cover.. The available wireless spectrum 802.11 technology and the wireless

More information

Amplifier Characterization in the millimeter wave range. Tera Hertz : New opportunities for industry 3-5 February 2015

Amplifier Characterization in the millimeter wave range. Tera Hertz : New opportunities for industry 3-5 February 2015 Amplifier Characterization in the millimeter wave range Tera Hertz : New opportunities for industry 3-5 February 2015 Millimeter Wave Converter Family ZVA-Z500 ZVA-Z325 Y Band (WR02) ZVA-Z220 J Band (WR03)

More information

Next Generation Mobile Networks NGMN Liaison Statement to 5GAA

Next Generation Mobile Networks NGMN Liaison Statement to 5GAA Simulation assumptions and simulation results of LLS and SLS 1 THE LINK LEVEL SIMULATION 1.1 Simulation assumptions The link level simulation assumptions are applied as follows: For fast fading model in

More information

Wireless Communication in Embedded System. Prof. Prabhat Ranjan

Wireless Communication in Embedded System. Prof. Prabhat Ranjan Wireless Communication in Embedded System Prof. Prabhat Ranjan Material based on White papers from www.radiotronix.com Networked embedded devices In the past embedded devices were standalone Typically

More information

Bluetooth Angle Estimation for Real-Time Locationing

Bluetooth Angle Estimation for Real-Time Locationing Whitepaper Bluetooth Angle Estimation for Real-Time Locationing By Sauli Lehtimäki Senior Software Engineer, Silicon Labs silabs.com Smart. Connected. Energy-Friendly. Bluetooth Angle Estimation for Real-

More information

Interference in Finite-Sized Highly Dense Millimeter Wave Networks

Interference in Finite-Sized Highly Dense Millimeter Wave Networks Interference in Finite-Sized Highly Dense Millimeter Wave Networks Kiran Venugopal, Matthew C. Valenti, Robert W. Heath Jr. UT Austin, West Virginia University Supported by Intel and the Big- XII Faculty

More information

Cooperative localization (part I) Jouni Rantakokko

Cooperative localization (part I) Jouni Rantakokko Cooperative localization (part I) Jouni Rantakokko Cooperative applications / approaches Wireless sensor networks Robotics Pedestrian localization First responders Localization sensors - Small, low-cost

More information

Distributed Source Model for Short-Range MIMO

Distributed Source Model for Short-Range MIMO Distributed Source Model for Short-Range MIMO by Jeng-Shiann Jiang and Mary Ann Ingram {jsjiang, mai}@ece.gatech.edu School of Electrical and Computer Engineering Georgia Institute of Technology Copyright

More information

Antenna Design and Site Planning Considerations for MIMO

Antenna Design and Site Planning Considerations for MIMO Antenna Design and Site Planning Considerations for MIMO Steve Ellingson Mobile & Portable Radio Research Group (MPRG) Dept. of Electrical & Computer Engineering Virginia Polytechnic Institute & State

More information

MEASUREMENT AND MODELING OF INDOOR UWB CHANNEL AT 5 GHz

MEASUREMENT AND MODELING OF INDOOR UWB CHANNEL AT 5 GHz MEASUREMENT AND MODELING OF INDOOR UWB CHANNEL AT 5 GHz WINLAB @ Rutgers University July 31, 2002 Saeed S. Ghassemzadeh saeedg@research.att.com Florham Park, New Jersey This work is based on collaborations

More information

All Beamforming Solutions Are Not Equal

All Beamforming Solutions Are Not Equal White Paper All Beamforming Solutions Are Not Equal Executive Summary This white paper compares and contrasts the two major implementations of beamforming found in the market today: Switched array beamforming

More information

Chalmers Publication Library

Chalmers Publication Library Chalmers Publication Library About Random LOS in Rician Fading Channels for MIMO OTA Tests This document has been downloaded from Chalmers Publication Library (CPL). It is the author s version of a work

More information

The Radio Channel. COS 463: Wireless Networks Lecture 14 Kyle Jamieson. [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P.

The Radio Channel. COS 463: Wireless Networks Lecture 14 Kyle Jamieson. [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P. The Radio Channel COS 463: Wireless Networks Lecture 14 Kyle Jamieson [Parts adapted from I. Darwazeh, A. Goldsmith, T. Rappaport, P. Steenkiste] Motivation The radio channel is what limits most radio

More information

Why Time-Reversal for Future 5G Wireless?

Why Time-Reversal for Future 5G Wireless? Why Time-Reversal for Future 5G Wireless? K. J. Ray Liu Department of Electrical and Computer Engineering University of Maryland, College Park Acknowledgement: the Origin Wireless Team What is Time-Reversal?

More information

Comparison of RSSI-Based Indoor Localization for Smart Buildings with Internet of Things

Comparison of RSSI-Based Indoor Localization for Smart Buildings with Internet of Things Comparison of RSSI-Based Indoor Localization for Smart Buildings with Internet of Things Sebastian Sadowski and Petros Spachos, School of Engineering, University of Guelph, Guelph, ON, N1G 2W1, Canada

More information

Indoor navigation with smartphones

Indoor navigation with smartphones Indoor navigation with smartphones REinEU2016 Conference September 22 2016 PAVEL DAVIDSON Outline Indoor navigation system for smartphone: goals and requirements WiFi based positioning Application of BLE

More information

Approaches for Device-free Multi-User Localization with Passive RFID

Approaches for Device-free Multi-User Localization with Passive RFID Approaches for Device-free Multi-User Localization with Passive RFID Benjamin Wagner, Dirk Timmermann Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock, Germany

More information

Radio channel measurement based evaluation method of mobile terminal diversity antennas

Radio channel measurement based evaluation method of mobile terminal diversity antennas HELSINKI UNIVERSITY OF TECHNOLOGY Radio laboratory SMARAD Centre of Excellence Radio channel measurement based evaluation method of mobile terminal diversity antennas S-72.333, Postgraduate Course in Radio

More information

VOL. 3, NO.11 Nov, 2012 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.

VOL. 3, NO.11 Nov, 2012 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved. Effect of Fading Correlation on the Performance of Spatial Multiplexed MIMO systems with circular antennas M. A. Mangoud Department of Electrical and Electronics Engineering, University of Bahrain P. O.

More information

PERSONS AND OBJECTS LOCALIZATION USING SENSORS

PERSONS AND OBJECTS LOCALIZATION USING SENSORS Investe}te în oameni! FONDUL SOCIAL EUROPEAN Programul Operational Sectorial pentru Dezvoltarea Resurselor Umane 2007-2013 eng. Lucian Ioan IOZAN PhD Thesis Abstract PERSONS AND OBJECTS LOCALIZATION USING

More information

Wearable networks: A new frontier for device-to-device communication

Wearable networks: A new frontier for device-to-device communication Wearable networks: A new frontier for device-to-device communication Professor Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University

More information

Capacity of Multi-Antenna Array Systems for HVAC ducts

Capacity of Multi-Antenna Array Systems for HVAC ducts Capacity of Multi-Antenna Array Systems for HVAC ducts A.G. Cepni, D.D. Stancil, A.E. Xhafa, B. Henty, P.V. Nikitin, O.K. Tonguz, and D. Brodtkorb Carnegie Mellon University, Department of Electrical and

More information

SHORT RANGE PROPAGATION MODEL FOR A VERY WIDEBAND DIRECTIVE CHANNEL AT 5.5 GHZ BAND

SHORT RANGE PROPAGATION MODEL FOR A VERY WIDEBAND DIRECTIVE CHANNEL AT 5.5 GHZ BAND Progress In Electromagnetics Research, Vol. 130, 319 346, 2012 SHORT RANGE PROPAGATION MODEL FOR A VERY WIDEBAND DIRECTIVE CHANNEL AT 5.5 GHZ BAND B. Taha Ahmed *, D. F. Campillo, and J. L. Masa Campos

More information

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of elsinki University of Technology's products or services. Internal

More information

METIS Second Training & Seminar. Smart antenna: Source localization and beamforming

METIS Second Training & Seminar. Smart antenna: Source localization and beamforming METIS Second Training & Seminar Smart antenna: Source localization and beamforming Faculté des sciences de Tunis Unité de traitement et analyse des systèmes haute fréquences Ali Gharsallah Email:ali.gharsallah@fst.rnu.tn

More information

Channel Modelling ETIM10. Propagation mechanisms

Channel Modelling ETIM10. Propagation mechanisms Channel Modelling ETIM10 Lecture no: 2 Propagation mechanisms Ghassan Dahman \ Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden 2012-01-20 Fredrik Tufvesson

More information

LOCALIZATION WITH GPS UNAVAILABLE

LOCALIZATION WITH GPS UNAVAILABLE LOCALIZATION WITH GPS UNAVAILABLE ARES SWIEE MEETING - ROME, SEPT. 26 2014 TOR VERGATA UNIVERSITY Summary Introduction Technology State of art Application Scenarios vs. Technology Advanced Research in

More information

IOT GEOLOCATION NEW TECHNICAL AND ECONOMICAL OPPORTUNITIES

IOT GEOLOCATION NEW TECHNICAL AND ECONOMICAL OPPORTUNITIES IOT GEOLOCATION NEW TECHNICAL AND ECONOMICAL OPPORTUNITIES Florian LECLERE f.leclere@kerlink.fr EOT Conference Herning 2017 November 1st, 2017 AGENDA 1 NEW IOT PLATFORM LoRa LPWAN Platform Geolocation

More information

EXPERIMENTAL EVALUATION OF MIMO ANTENA SELECTION SYSTEM USING RF-MEMS SWITCHES ON A MOBILE TERMINAL

EXPERIMENTAL EVALUATION OF MIMO ANTENA SELECTION SYSTEM USING RF-MEMS SWITCHES ON A MOBILE TERMINAL EXPERIMENTAL EVALUATION OF MIMO ANTENA SELECTION SYSTEM USING RF-MEMS SWITCHES ON A MOBILE TERMINAL Atsushi Honda, Ichirou Ida, Yasuyuki Oishi, Quoc Tuan Tran Shinsuke Hara Jun-ichi Takada Fujitsu Limited

More information

RELATIONSHIP BETWEEN CAPACITY AND PATHLOSS FOR INDOOR MIMO CHANNELS

RELATIONSHIP BETWEEN CAPACITY AND PATHLOSS FOR INDOOR MIMO CHANNELS RELATONSHP BETWEEN CAPACTY AND PATHLOSS FOR NDOOR MMO CHANNELS Jesper Ødum Nielsen, Jørgen Bach Andersen Department of Communication Technology Aalborg University Niels Jernes Vej 12, 92 Aalborg, Denmark

More information

EEM.Ant. Antennas and Propagation

EEM.Ant. Antennas and Propagation EEM.ant/0304/08pg/Req: None 1/8 UNIVERSITY OF SURREY Department of Electronic Engineering MSc EXAMINATION EEM.Ant Antennas and Propagation Duration: 2 Hours Spring 2003/04 READ THESE INSTRUCTIONS Answer

More information

High-accuracy Positioning in Multipath Channels: Location-Awareness for 5G Networks and Beyond

High-accuracy Positioning in Multipath Channels: Location-Awareness for 5G Networks and Beyond 1 S C I E N C E P A S S I O N T E C H N O L O G Y High-accuracy Positioning in Multipath Channels: Location-Awareness for 5G Networks and Beyond Joint work with my PhD students / Post Docs: Paul Meissner,

More information

CHAPTER 9 ADAPTIVE BEAMFORMING MEASUREMENTS AND SIMULATIONS

CHAPTER 9 ADAPTIVE BEAMFORMING MEASUREMENTS AND SIMULATIONS CHAPTER 9 ADAPTIVE BEAMFORMING MEASUREMENTS AND SIMULATIONS 9.1 Introduction The use of adaptive antennas on handheld radios is a new area of research. In 1988, Vaughn [9.1] concluded that with then-current

More information