Propagation Laboratory
|
|
- Baldwin Murphy
- 5 years ago
- Views:
Transcription
1 RUSK-Fujitsu Double-Directional Full Polarization Channel Sounder
2 Clustering Results of Estimated MIMO Double-directional Channel Data of a Small Macrocell (Lawrence Materum)
3
4 Introduction of Complex Radar Cross Section for Ray Tracing Simulation of Microcell Propagation Channels (Yukiko Kishiki) Introduction Propagation path loss at long distances decreases on the street model in conventional ray tracing simulator. The energy of specular reflection & diffraction are multiply counted because there are a lot of diffraction edges near the specular reflection. In this study Step.1) We survey the range where the geometrical optics can be applicable. Step.2)We introduce the complex radar cross section within the range that geometrical optics fail. Step.3)We integrate complex RCS to ray tracing. Distance between Tx & Rx: 10m 1km Tx Rx Rx Rx 27m Applicable Range Ray Tracing Step1 Step3 Step.1 Comparison between physical optics (PO) & stationary Model Scattering Specular Reflection & Diffraction Radar Cross Section Step2 phase method (SP) 1000m Tx Rx (*SP..asymptotic evaluation of PO to extract specular reflection and edge diffraction separately) Step.2 The radar cross section (RCS) is introduced for φi s 1 s 2 Conductor Xe 5m (a) The true diffraction: the range that GO fails. In this study, the complex RCS is introduced in order to calculate the scattering from multiple objects. PO SP's reflection (b) The diffraction of geometrics optics: SP's diffraction The complex RCS is calculated for 3-D rectangular plate with arbitrary surface impedance. Reflection and diffraction cannot be distinct within 1 st Fresnel zone. Step.3 Result Application of complex RCS to ray tracing calculation. Implemented scattering mechanisms : Specular reflection - Transmission - Diffraction - RCS scattering Conventional technique: the received level increases at long distances. Proposed technique: the received level decreases at long distances and is close to the measurement data. The RCS scattering paths are identified by these steps. 1) The 1 st Fresnel zone is made between the Tx and mirror point of Rx. 2) The diffraction and the specular reflection paths within the 1 st Fresnel zone are deleted. 3) Within the 1 st Fresnel zone, scatterings from the surfaces are coherently summed up. (similar to street model)
5 Spectrum Sensing based on Cyclostationarity for Cognitive Radio (Po Kimtho) Introduction Spectrum Sensing is one of the m ost im portant technique for Cognitive Radio (CR) in order to recognize the presence or absence of the prim ary users. In this poster, non-cooperative and cooperative spectrum sensing based on cyclostationarity are presented. Cyclostationary Detector The estim ation ofcyclic autocorrelation function (CAF)ofreceived signal where prim ary signal Gaussian noise To detect whether or not a prim ary signal is present,a row vector is com puted In order to test for the presence of signal at any of the cyclic frequencies of interest the hypothesis testing problem is form ulated as follows signalis absent signalis present where is an estim ation error.for large,it is known that is Gaussian distribution with probability function where is the estim ated covariance m atrix. Based on generalized likelihood ratio test (GLRT), the statistical cyclic test can be defined as follow Under : converges to a central Chi-square distribution Under : converges to Gaussian distribution with pdf For a given false alarm rate, the threshold can be determ ined. Then, the detection can be perform ed as follows signalis absent signalis present Non Cooperative Sensing vs. Cooperative Sensing Non cooperative sensing:each cognitive user com putes the statistical test at single or m ultiple cyclic frequencies. Cooperative sensing:m ultiple cognitive users share the statisticaltest with one another.
6 Cognitive Radio Testbed System and Demonstration for Spectrum Sensing (Sabita Maharjan and Minseok Kim) Multi-purpose Signal Processing Unit Introduction The fundamental principle of cognitive radio systems is the concept of spectrum sharing in order to dynamically utilize the precious spectrum. Spectrum sensing is needed to ensure that cognitive radios would not interfere with primary users. In this study, the testbed system to study the implementation of effective spectrum sensing techniques for cognitive radios for ISDB-T signal in Japan is presented. The digital signal processing unit was developed to integrate and evaluate multi-antenna signal processors. It consists of the signal processing board and controller board. The signal processing board incorporates 16 channels of ADCs and DACs, and high density FPGAs for signal processing. A general-purpose CPU is used as a system control unit and numerical computation coprocessor with floating-point arithmetic. 16-Channel ADC/DAC/FPGA board External I/O 16CH DACs SMB Objectives FPGAs To evaluate the algorithm and the system for weak signal sensing in real hardware. To comprehensively study the practical problems and hardware limitations from the experiment data in the testbed system 16CH ADCs Controller board (SH4 / NetBSD) Testbed System Configurations Ant. RF Filter Low Noise Amplifier Mixer IF/BB Filter AGC LNA Multiple CPEs VCO MAX3580 Ant. RF Filter Analog-toDigital Converter AD Automatic Gain Control Low Noise Amplifier Mixer AGC VCO MAX3580 To CPU Analog-toDigital Converter IF/BB Filter LNA FPGA Experimental setup DVB-T ISDB-T Direct Conversion Tuner AD Automatic Gain Control VHF/UHF DVB-T ISDB-T Direct Conversion Tuner (MAX3580) VHF-III 170MHz to 230MHz, UHF 470MHz to 878MHz Antenna Baseband Output (I) Baseband Output (Q) DSUB25 Parallel Connector MAX Channel ADC/DAC/FPGA board PC for analysis MALAB based Realtime Visualization VHF Input UHF Input Specifications of the multi-purpose signal processing unit ADC DAC AD9245 (Analog Device) 16 Resolution 14 bits Sampling rates 80 MSPS (Interleave sampling up to 320MSPS) Memory SDRAM 256 MB DAC904 ( Burrbrown) Channels 16 Resolution 14 bits Sampling 165 MSPS Memory SDRAM 64 MB STRATIX EP1S40 (ALTERA) FPGAs CPU Channels - 41,250 LEs (about 1000,000 Typical Gates) - 3,423,744 bits internal memory - 14 DSP blocks (14 parallel 36*36 multiplier available) Renesas SH4 200 MHz, 360 MIPS 1.4 GFLOPS OS NetBSD Power Spectrum Density Spectrum Correlation Density
Signal Detection Method based on Cyclostationarity for Cognitive Radio
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. Signal Detection Method based on Cyclostationarity for Cognitive Radio Abstract Kimtho PO and Jun-ichi TAKADA
More informationMerging Propagation Physics, Theory and Hardware in Wireless. Ada Poon
HKUST January 3, 2007 Merging Propagation Physics, Theory and Hardware in Wireless Ada Poon University of Illinois at Urbana-Champaign Outline Multiple-antenna (MIMO) channels Human body wireless channels
More informationChannel Modelling ETI 085
Channel Modelling ETI 085 Lecture no: 7 Directional channel models Channel sounding Why directional channel models? The spatial domain can be used to increase the spectral efficiency i of the system Smart
More informationOverview. Cognitive Radio: Definitions. Cognitive Radio. Multidimensional Spectrum Awareness: Radio Space
Overview A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications Tevfik Yucek and Huseyin Arslan Cognitive Radio Multidimensional Spectrum Awareness Challenges Spectrum Sensing Methods
More informationWireless Communication Systems: Implementation perspective
Wireless Communication Systems: Implementation perspective Course aims To provide an introduction to wireless communications models with an emphasis on real-life systems To investigate a major wireless
More information2015 The MathWorks, Inc. 1
2015 The MathWorks, Inc. 1 What s Behind 5G Wireless Communications? 서기환과장 2015 The MathWorks, Inc. 2 Agenda 5G goals and requirements Modeling and simulating key 5G technologies Release 15: Enhanced Mobile
More informationChannel Modelling ETIN10. Directional channel models and Channel sounding
Channel Modelling ETIN10 Lecture no: 7 Directional channel models and Channel sounding Ghassan Dahman / Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden 2014-02-17
More informationHardware Architecture of Software Defined Radio (SDR)
Hardware Architecture of Software Defined Radio (SDR) Tassadaq Hussain Assistant Professor: Riphah International University Research Collaborations: Microsoft Barcelona Supercomputing Center University
More informationPresented 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 informationBologna 14 October, 2009
Bologna 14 October, 2009 Video over wireless: FPGA design and implementation of a pulse- based echo canceler for DVB-T/H Ph.D Student: G.Chiurco Tutor: Prof. O.Andrisano Alma Mater University of Bologna,
More informationScalable Front-End Digital Signal Processing for a Phased Array Radar Demonstrator. International Radar Symposium 2012 Warsaw, 24 May 2012
Scalable Front-End Digital Signal Processing for a Phased Array Radar Demonstrator F. Winterstein, G. Sessler, M. Montagna, M. Mendijur, G. Dauron, PM. Besso International Radar Symposium 2012 Warsaw,
More informationWideband Direct Digital Radio Modeling and Verification Rulon VanDyke 1, David Leiss 2
IMS2011 Wideband Direct Digital Radio Modeling and Verification Rulon VanDyke 1, David Leiss 2 1 Agilent Technologies, Alpharetta, GA, USA 2 Agilent Technologies, Manassas, VA, USA Typical Presentation
More informationSoftware Radio Satellite Terminal: an experimental test-bed
Software Radio Satellite Terminal: an experimental test-bed TD-03 03-005-S L. Bertini,, E. Del Re, L. S. Ronga Software Radio Concept Present Implementations RF SECTION IF SECTION BASEBAND SECTION out
More informationDigital Receiver Experiment or Reality. Harry Schultz AOC Aardvark Roost Conference Pretoria 13 November 2008
Digital Receiver Experiment or Reality Harry Schultz AOC Aardvark Roost Conference Pretoria 13 November 2008 Contents Definition of a Digital Receiver. Advantages of using digital receiver techniques.
More informationCognitive Radio Platform Technology
Cognitive Radio Platform Technology Ivan Seskar Rutgers, The State University of New Jersey www.winlab.rutgers.edu seskar (at) winlab (dot) rutgers (dot) edu Complexity/Performance Tradeoffs Efficient
More informationPrinciples of Modern Radar
Principles of Modern Radar Vol. I: Basic Principles Mark A. Richards Georgia Institute of Technology James A. Scheer Georgia Institute of Technology William A. Holm Georgia Institute of Technology PUBLiSH]J
More informationDURIP Distributed SDR testbed for Collaborative Research. Wednesday, November 19, 14
DURIP Distributed SDR testbed for Collaborative Research Distributed Software Defined Radar Testbed Collaborative research resource based on software defined radar (SDR) platforms that can adaptively modify
More informationDIRECT UP-CONVERSION USING AN FPGA-BASED POLYPHASE MODEM
DIRECT UP-CONVERSION USING AN FPGA-BASED POLYPHASE MODEM Rob Pelt Altera Corporation 101 Innovation Drive San Jose, California, USA 95134 rpelt@altera.com 1. ABSTRACT Performance requirements for broadband
More informationDigital Sounder: HF Diagnostics Module:Ionosonde Dual Channel ( ) Eight Channel ( )
CENTER FOR REMOTE SE NSING, INC. Digital Sounder: HF Diagnostics Module:Ionosonde Dual Channel (001-2000) Eight Channel (004-2006) 2010 Center for Remote Sensing, Inc. All specifications subject to change
More informationHigh Resolution Radar Sensing via Compressive Illumination
High Resolution Radar Sensing via Compressive Illumination Emre Ertin Lee Potter, Randy Moses, Phil Schniter, Christian Austin, Jason Parker The Ohio State University New Frontiers in Imaging and Sensing
More informationRF and Microwave Test and Design Roadshow 5 Locations across Australia and New Zealand
RF and Microwave Test and Design Roadshow 5 Locations across Australia and New Zealand Advanced PXI Technologies Signal Recording, FPGA s, and Synchronization Outline Introduction to the PXI Architecture
More informationWhat s Behind 5G Wireless Communications?
What s Behind 5G Wireless Communications? Marc Barberis 2015 The MathWorks, Inc. 1 Agenda 5G goals and requirements Modeling and simulating key 5G technologies Release 15: Enhanced Mobile Broadband IoT
More informationB SCITEQ. Transceiver and System Design for Digital Communications. Scott R. Bullock, P.E. Third Edition. SciTech Publishing, Inc.
Transceiver and System Design for Digital Communications Scott R. Bullock, P.E. Third Edition B SCITEQ PUBLISHtN^INC. SciTech Publishing, Inc. Raleigh, NC Contents Preface xvii About the Author xxiii Transceiver
More informationSupplemental Slides: MIMO Testbed Development at the MPRG Lab
Supplemental Slides: MIMO Testbed Development at the MPRG Lab Raqibul Mostafa Jeffrey H. Reed Slide 1 Overview Space Time Coding (STC) Overview Virginia Tech Space Time Adaptive Radio (VT-STAR) description:
More informationExperimental Study of Spectrum Sensing Based on Distribution Analysis
Experimental Study of Spectrum Sensing Based on Distribution Analysis Mohamed Ghozzi, Bassem Zayen and Aawatif Hayar Mobile Communications Group, Institut Eurecom 2229 Route des Cretes, P.O. Box 193, 06904
More informationThe Mobile Radio Propagation Channel Second Edition
The Mobile Radio Propagation Channel Second Edition J. D. Parsons, DSc (Engl FREng, FlEE Emeritus Professor of Electrical Engineering University of Liverpool, UK JOHN WILEY & SONS LTD Chichester New York
More informationSupporting Network Planning Tools II
Session 5.8 Supporting Network Planning Tools II Roland Götz LS telcom AG / Spectrocan 1 Modern Radio Network Planning Tools Radio Network Planning Tool Data / Result Output Data Management Network Processor
More informationRadio Frequency Electronics (RFE)
Radio Frequency Electronics (RFE) by Prof. Dr.rer.nat. Dr.h.c. Manfred Thumm 5th Edition: 2011 Forschungszentrum Karlsruhe in der Helmholtz - Gemeinschaft Universität Karlsruhe (TH) Research University
More informationGNSS Technologies. GNSS Acquisition Dr. Zahidul Bhuiyan Finnish Geospatial Research Institute, National Land Survey
GNSS Acquisition 25.1.2016 Dr. Zahidul Bhuiyan Finnish Geospatial Research Institute, National Land Survey Content GNSS signal background Binary phase shift keying (BPSK) modulation Binary offset carrier
More informationELEC RADAR FRONT-END SUMMARY
ELEC Radar Front-End is designed for FMCW (including CW) radar application. The output frequency of each RX provides range, speed, and amplitude information to DSP. It will detect target azimuth angle
More informationISSCC 2003 / SESSION 20 / WIRELESS LOCAL AREA NETWORKING / PAPER 20.5
ISSCC 2003 / SESSION 20 / WIRELESS LOCAL AREA NETWORKING / PAPER 20.5 20.5 A 2.4GHz CMOS Transceiver and Baseband Processor Chipset for 802.11b Wireless LAN Application George Chien, Weishi Feng, Yungping
More informationDistributed spectrum sensing in unlicensed bands using the VESNA platform. Student: Zoltan Padrah Mentor: doc. dr. Mihael Mohorčič
Distributed spectrum sensing in unlicensed bands using the VESNA platform Student: Zoltan Padrah Mentor: doc. dr. Mihael Mohorčič Agenda Motivation Theoretical aspects Practical aspects Stand-alone spectrum
More informationFrom Antenna to Bits:
From Antenna to Bits: Wireless System Design with MATLAB and Simulink Cynthia Cudicini Application Engineering Manager MathWorks cynthia.cudicini@mathworks.fr 1 Innovations in the World of Wireless Everything
More informationTSEK38: Radio Frequency Transceiver Design Lecture 3: Superheterodyne TRX design
TSEK38: Radio Frequency Transceiver Design Lecture 3: Superheterodyne TRX design Ted Johansson, ISY ted.johansson@liu.se 2 Outline of lecture 3 Introduction RF TRX architectures (3) Superheterodyne architecture
More information5G, WLAN, and LTE Wireless Design with MATLAB
5G, WLAN, and LTE Wireless Design with MATLAB Marc Barberis Application Engineering Group 2017 The MathWorks, Inc. 1 Agenda The 5G Landscape Designing 5G Systems Generating waveforms Designing baseband
More informationRadio Testbeds Using BEE2
Radio Testbeds Using BEE2 Susan Mellers 1, Brian Richards 1, Hayden So 2, Shridhar Mubaraq Mishra 1, Kevin Camera 1, P. A. Subrahmanyam 1, Robert W. Brodersen 1 1 Berkeley Wireless Research Center, University
More informationThe Measurement and Characterisation of Ultra Wide-Band (UWB) Intentionally Radiated Signals
The Measurement and Characterisation of Ultra Wide-Band (UWB) Intentionally Radiated Signals Rafael Cepeda Toshiba Research Europe Ltd University of Bristol November 2007 Rafael.cepeda@toshiba-trel.com
More informationSimulating and Testing of Signal Processing Methods for Frequency Stepped Chirp Radar
Test & Measurement Simulating and Testing of Signal Processing Methods for Frequency Stepped Chirp Radar Modern radar systems serve a broad range of commercial, civil, scientific and military applications.
More informationFaculty of Information Engineering & Technology. The Communications Department. Course: Advanced Communication Lab [COMM 1005] Lab 6.
Faculty of Information Engineering & Technology The Communications Department Course: Advanced Communication Lab [COMM 1005] Lab 6.0 NI USRP 1 TABLE OF CONTENTS 2 Summary... 2 3 Background:... 3 Software
More informationRESEARCH ON METHODS FOR ANALYZING AND PROCESSING SIGNALS USED BY INTERCEPTION SYSTEMS WITH SPECIAL APPLICATIONS
Abstract of Doctorate Thesis RESEARCH ON METHODS FOR ANALYZING AND PROCESSING SIGNALS USED BY INTERCEPTION SYSTEMS WITH SPECIAL APPLICATIONS PhD Coordinator: Prof. Dr. Eng. Radu MUNTEANU Author: Radu MITRAN
More informationCycloStationary Detection for Cognitive Radio with Multiple Receivers
CycloStationary Detection for Cognitive Radio with Multiple Receivers Rajarshi Mahapatra, Krusheel M. Satyam Computer Services Ltd. Bangalore, India rajarshim@gmail.com munnangi_krusheel@satyam.com Abstract
More informationRF and Microwave Test and Design Roadshow 5 Locations across Australia and New Zealand
RF and Microwave Test and Design Roadshow 5 Locations across Australia and New Zealand ni.com Design and test of RADAR systems Agenda Radar Overview Tools Overview VSS LabVIEW PXI Design and Simulation
More informationADI 2006 RF Seminar. Chapter II RF/IF Components and Specifications for Receivers
ADI 2006 RF Seminar Chapter II RF/IF Components and Specifications for Receivers 1 RF/IF Components and Specifications for Receivers Fixed Gain and Variable Gain Amplifiers IQ Demodulators Analog-to-Digital
More informationMobile Communications Research Group Tokyo Institute of Technology. Annual Report
Mobile Communications Research Group Tokyo Institute of Technology 2007 Annual Report Contents Tokyo Institute of Technology 2 Mobile Communications Research Group 3 Laboratory introduction & Annual Report
More informationLOG-a-TEC testbed applications in TVWS
LOG-a-TEC testbed applications in TVWS CREW workshop on TV white spaces Mihael Mohorčič - Jožef Stefan Institute (JSI) The research leading to these results has received funding from the European Union's
More information1. Introduction. 2. Cognitive Radio. M. Jayasri 1, K. Kalimuthu 2, P. Vijaykumar 3
Fading Environmental in Generalised Energy Detector of Wireless Incant M. Jayasri 1, K. Kalimuthu 2, P. Vijaykumar 3 1 PG Scholar, SRM University, Chennai, India 2 Assistant professor (Sr. Grade), Electronics
More informationMCMS. A Flexible 4 x 16 MIMO Testbed with 250 MHz 6 GHz Tuning Range
A Flexible 4 x 16 MIMO Testbed with 250 MHz 6 GHz Tuning Range Steve Ellingson Mobile & Portable Radio Research Group (MPRG) Dept. of Electrical & Computer Engineering Virginia Polytechnic Institute &
More informationBroadcast goes Mobile. From DVB-T T to DVB-H.
Broadcast goes Mobile. From T to DVB-H. Gerard POUSSET V.P. marketing MMC05 January 05 Berlin 1 What is MOBILE TV? In the car ' In the street ' : up to 250 km/h today DVB-H : end 2005 2 OUTLINE 1. Mobile
More information2002 IEEE International Solid-State Circuits Conference 2002 IEEE
Outline 802.11a Overview Medium Access Control Design Baseband Transmitter Design Baseband Receiver Design Chip Details What is 802.11a? IEEE standard approved in September, 1999 12 20MHz channels at 5.15-5.35
More informationC700 A New Domain in Radio System Design & Verification
C700 A New Domain in Radio System Design & Verification C700 A New Domain in Radio System Design & Verification A modular SDR (Software-Defined Radio) development and verification platform that allows
More informationLecture Note on Wireless Communication Engineering I
Lecture Note on Wireless Communication Engineering I Prof. Kiyomichi Araki Department of Electrical & Electronics Tokyo Institute of Technology South III Bld. Room No. 912 TEL/FAX: 03-5734-3495 E-mail:
More informationCognitive Radio: Fundamentals and Opportunities
San Jose State University From the SelectedWorks of Robert Henry Morelos-Zaragoza Fall August 24, 2007 Cognitive Radio: Fundamentals and Opportunities Robert H Morelos-Zaragoza, San Jose State University
More informationSpectrum Sensing in Cognitive Radio: Use of Cyclo-Stationary Detector
Spectrum Sensing in Cognitive Radio: Use of Cyclo-Stationary Detector by Manish B Dave Roll No. : 210EC4077 A Thesis submitted for partial fulfillment for the degree of Master of Technology in Electronics
More informationRadaScan: A Local Reference, High Resolution Radar, Dynamic Positioning Sensor
Author s Name Name of the Paper Session DYNAMIC POSITIONING CONFERENCE November 15-16, 2005 Sensors 1 RadaScan: A Local Reference, High Resolution Radar, Dynamic Positioning Sensor Dr. Dominic Pearce Guidance
More informationDesign and Implementation of an Integrated Radar and Communication System for Smart Vehicle
Design and Implementation of an Integrated Radar and Communication System for Smart Vehicle D. Mondal, R. Bera, M. Mitra Abstract This paper addresses the development efforts towards realization of Smart
More informationRF and Microwave Test and Design Roadshow Cape Town & Midrand
RF and Microwave Test and Design Roadshow Cape Town & Midrand Advanced PXI Technologies Signal Recording, FPGA s, and Synchronization Philip Ehlers Outline Introduction to the PXI Architecture PXI Data
More informationEstimation of Predetection SNR of LMR Analog FM Signals Using PL Tone Analysis
Estimation of Predetection SNR of LMR Analog FM Signals Using PL Tone Analysis Akshay Kumar akshay2@vt.edu Steven Ellingson ellingson@vt.edu Virginia Tech, Wireless@VT May 2, 2012 Table of Contents 1 Introduction
More informationIndex. Index. More information. in this web service Cambridge University Press
access policy, see sensing and access policy ADC, 21 alphabets input,output, 56 antennas, 20 frequency reconfigurable, 20 narrowband, 20 radiation pattern reconfigurable, 20 wideband, 20 autocorrelation
More informationSoftware Defined Radio Developments and Verification for Space Environment on NASA s Communication Navigation, and Networking Testbed (CoNNeCT)
Software Defined Radio Developments and Verification for Space Environment on NASA s Communication Navigation, and Networking Testbed (CoNNeCT) Richard Reinhart NASA Glenn Research Center, Cleveland, Ohio
More informationSPECTRUM SENSING BY CYCLO-STATIONARY DETECTOR
SPECTRUM SENSING BY CYCLO-STATIONARY DETECTOR 1 NIYATI SOHNI, 2 ANAND MANE 1,2 Sardar Patel Institute of technology Mumbai, Sadar Patel Institute of Technology Mumbai E-mail: niyati23@gmail.com, anand_mane@spit.ac.in
More informationCopyrighted Material. Contents
Preface xiii 1 Introduction 1 1.1 Concepts 1 1.2 Spacecraft Sensors Cost 5 1.2.1 Introduction to Cost Estimating 5 1.2.2 Cost Data 7 1.2.3 Cost Estimating Methodologies 8 1.2.4 The Cost Estimating Relationship
More informationIssues for Multi-Band Multi-Access Radio Circuits in 5G Mobile Communication
Issues or Multi-Band Multi-Access Radio Circuits in 5G Mobile Communication Yasushi Yamao AWCC The University o Electro-Communications LABORATORY Outline Background Requirements or 5G Hardware Issues or
More informationParameter Estimation of Double Directional Radio Channel Model
Parameter Estimation of Double Directional Radio Channel Model S-72.4210 Post-Graduate Course in Radio Communications February 28, 2006 Signal Processing Lab./SMARAD, TKK, Espoo, Finland Outline 2 1. Introduction
More informationAuxiliary Beam Pair Enabled AoD Estimation for Large-scale mmwave MIMO Systems
Auxiliary Beam Pair Enabled AoD Estimation for Large-scale mmwave MIMO Systems Dalin Zhu, Junil Choi and Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer
More informationDesign and Implementation of Analyzing Instrument for Broadband Powerline Communications
Design and Implementation of Analyzing Instrument for Broadband Communications Kyong-Hoe Kim 1, Yong-Hwa Kim 2, Yong-Cheol Jeong 3, and Seong-Cheol Kim 1 1 Institute of New Media and Communications, School
More informationDivision Free Duplex in Small Form Factors. Leo Laughlin,ChunqingZhang, Mark Beach, Kevin Morris, and John Haine
Division Free Duplex in Small Form Factors Leo Laughlin,ChunqingZhang, Mark Beach, Kevin Morris, and John Haine Outline Duplexing Electrical Balance duplexers Active self-interference cancellation Electrical
More informationHow different FPGA firmware options enable digitizer platforms to address and facilitate multiple applications
How different FPGA firmware options enable digitizer platforms to address and facilitate multiple applications 1 st of April 2019 Marc.Stackler@Teledyne.com March 19 1 Digitizer definition and application
More informationRFID Reader Frontends for a Dual-Frequency (13 MHz and 868 MHz) Rapid Prototyping Environment
RFID Reader Frontends for a Dual-Frequency (13 MHz and 868 MHz) Rapid Prototyping Environment Robert Langwieser, Michael Fischer and Prof. Dr. Arpad L. Scholtz Vienna University of Technology www.tuwien.ac.at
More informationRANGE resolution and dynamic range are the most important
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2012, VOL. 58, NO. 2, PP. 135 140 Manuscript received August 17, 2011; revised May, 2012. DOI: 10.2478/v10177-012-0019-1 High Resolution Noise Radar
More informationSession 3. CMOS RF IC Design Principles
Session 3 CMOS RF IC Design Principles Session Delivered by: D. Varun 1 Session Topics Standards RF wireless communications Multi standard RF transceivers RF front end architectures Frequency down conversion
More informationPC Tune PC Tune Test Procedures for 5100 Series Portable Radios
PC Tune PC Tune Test Procedures for 5100 Series Portable Radios Part Number 002-9998-6513014 August 2008 Copyright 2006, 2007, 2008 by EFJohnson Technologies The EFJohnson Technologies logo, PC Configure,
More informationSoftware Radio, GNU Radio, and the USRP Product Family
Software Radio, GNU Radio, and the USRP Product Family Open Hardware for Software Radio Matt Ettus, matt@ettus.com Software Radio Simple, general-purpose hardware Do as much as possible in software Everyone's
More informationSpectrum Sensing Using OFDM Signal and Cyclostationary Detection Technique In Cognitive Radio
ISSN: 2319-7463, Vol. 5 Issue 4, Aril-216 Spectrum Sensing Using OFDM Signal and Cyclostationary Detection Technique In Cognitive Radio Mudasir Ah Wani 1, Gagandeep Singh 2 1 M.Tech Student, Department
More informationSoftware Defined Radios
Software Defined Radios What Is the SDR Radio? An SDR in general is a radio that has: Primary Functionality [modulation and demodulation, filtering, etc.] defined in software. DSP algorithms implemented
More informationUHF RFID Reader Design
IOT - Basics from the Expert EASP1 Design Case UHF RFID Reader Design Prof. Roland Küng, 2016 2004 The Big Bang of Internet of Things The Electronic Product Code (EPC) EPC provides unique* numbering scheme
More informationELT Receiver Architectures and Signal Processing Fall Mandatory homework exercises
ELT-44006 Receiver Architectures and Signal Processing Fall 2014 1 Mandatory homework exercises - Individual solutions to be returned to Markku Renfors by email or in paper format. - Solutions are expected
More informationFuture Radio Technologies Towards 5G: Research Opportunities at DCE + RF education at University of Oulu
Future Radio Technologies Towards 5G: Research Opportunities at DCE + RF education at University of Oulu Aarno Pärssinen Professor, Radio Engineering WIRELESS IN SMART PHONE iphone 6 Plus Teardown (https://www.ifixit.com/teardown/iphone+6+plus+teardown/29206)
More informationRF/IF Terminology and Specs
RF/IF Terminology and Specs Contributors: Brad Brannon John Greichen Leo McHugh Eamon Nash Eberhard Brunner 1 Terminology LNA - Low-Noise Amplifier. A specialized amplifier to boost the very small received
More informationA 1.7-to-2.2GHz Full-Duplex Transceiver System with >50dB Self-Interference Cancellation over 42MHz Bandwidth
A 1.7-to-2.2GHz Full-Duplex Transceiver System with >50dB Self-Interference Cancellation Tong Zhang, Ali Najafi, Chenxin Su, Jacques C. Rudell University of Washington, Seattle Feb. 8, 2017 International
More informationIMPLEMENTATION OF ADVANCED TWO-DIMENSIONAL INTERPOLATION-BASED CHANNEL ESTIMATION FOR OFDM SYSTEMS
IMPLEMENTATION OF ADVANCED TWO-DIMENSIONAL INTERPOLATION-BASED CHANNEL ESTIMATION FOR OFDM SYSTEMS Chiyoung Ahn, Hakmin Kim, Yusuk Yun and Seungwon Choi HY-SDR Research Center, Hanyang University, Seoul,
More informationEITN85, 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 informationEXPERIMENTAL 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 informationDigitally-Controlled RF Self- Interference Canceller for Full-Duplex Radios
Digitally-Controlled RF Self- nterference Canceller for Full-Duplex Radios Joose Tamminen 1, Matias Turunen 1, Dani Korpi 1, Timo Huusari 2, Yang-Seok Choi 2, Shilpa Talwar 2, and Mikko Valkama 1 1 Dept.
More informationnanomca 80 MHz HIGH PERFORMANCE, LOW POWER DIGITAL MCA Model Numbers: NM0530 and NM0530Z
datasheet nanomca 80 MHz HIGH PERFORMANCE, LOW POWER DIGITAL MCA Model Numbers: NM0530 and NM0530Z I. FEATURES Finger-sized, high performance digital MCA. 16k channels utilizing smart spectrum-size technology
More informationDemonstration of Real-time Spectrum Sensing for Cognitive Radio
Demonstration of Real-time Spectrum Sensing for Cognitive Radio (Zhe Chen, Nan Guo, and Robert C. Qiu) Presenter: Zhe Chen Wireless Networking Systems Laboratory Department of Electrical and Computer Engineering
More informationDeveloping a Generic Software-Defined Radar Transmitter using GNU Radio
Developing a Generic Software-Defined Radar Transmitter using GNU Radio A thesis submitted in partial fulfilment of the requirements for the degree of Master of Sciences (Defence Signal Information Processing)
More informationAdvances in Direction-of-Arrival Estimation
Advances in Direction-of-Arrival Estimation Sathish Chandran Editor ARTECH HOUSE BOSTON LONDON artechhouse.com Contents Preface xvii Acknowledgments xix Overview CHAPTER 1 Antenna Arrays for Direction-of-Arrival
More informationTestbed Design for Cognitive Radio Spectrum Sensing Experiments. by Artem Tkachenko. Research Project
Testbed Design for Cognitive Radio Spectrum Sensing Experiments by Artem Tkachenko Research Project Submitted to the Department of Electrical Engineering and Computer Sciences, University of California
More informationFDM based MIMO Spatio-Temporal Channel Sounder
FDM based MIMO Spatio-Temporal Channel Sounder Graduate School of Science and Technology, Kazuhiro Kuroda, Kei Sakaguchi, Jun-ichi Takada, Kiyomichi Araki Motivation The performance of MIMO communication
More informationSpectral Monitoring/ SigInt
RF Test & Measurement Spectral Monitoring/ SigInt Radio Prototyping Horizontal Technologies LabVIEW RIO for RF (FPGA-based processing) PXI Platform (Chassis, controllers, baseband modules) RF hardware
More informationAntennas 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 informationKeysight Technologies Overcoming the Challenges of Simulating Phased-Array Radar Systems. Application Note
Keysight Technologies Overcoming the Challenges of Simulating Phased-Array Radar Systems Application Note Introduction Phased array is widely used in modern radar systems for rapid multi-target search
More informationDevelopment of Signal Analyzer MS2840A with Built-in Low Phase-Noise Synthesizer
Development of Signal Analyzer MS2840A with Built-in Low Phase-Noise Synthesizer Toru Otani, Koichiro Tomisaki, Naoto Miyauchi, Kota Kuramitsu, Yuki Kondo, Junichi Kimura, Hitoshi Oyama [Summary] Evaluation
More informationTSEK02: Radio Electronics Lecture 8: RX Nonlinearity Issues, Demodulation. Ted Johansson, EKS, ISY
TSEK02: Radio Electronics Lecture 8: RX Nonlinearity Issues, Demodulation Ted Johansson, EKS, ISY 2 RX Nonlinearity Issues, Demodulation RX nonlinearities (parts of 2.2) System Nonlinearity Sensitivity
More informationDifferent Spectrum Sensing Techniques For IEEE (WRAN)
IJSRD National Conference on Technological Advancement and Automatization in Engineering January 2016 ISSN:2321-0613 Different Spectrum Sensing Techniques For IEEE 802.22(WRAN) Niyati Sohni 1 Akansha Bhargava
More informationSoftware Defined Radio: Enabling technologies and Applications
Mengduo Ma Cpr E 583 September 30, 2011 Software Defined Radio: Enabling technologies and Applications A Mini-Literature Survey Abstract The survey paper identifies the enabling technologies and research
More informationSpectrum Sensing Using Bayesian Method for Maximum Spectrum Utilization in Cognitive Radio
5 Spectrum Sensing Using Bayesian Method for Maximum Spectrum Utilization in Cognitive Radio Anurama Karumanchi, Mohan Kumar Badampudi 2 Research Scholar, 2 Assoc. Professor, Dept. of ECE, Malla Reddy
More informationDeveloping and Prototyping Next-Generation Communications Systems
Developing and Prototyping Next-Generation Communications Systems Dr. Amod Anandkumar Team Lead Signal Processing and Communications Application Engineering Group 2015 The MathWorks, Inc. 1 Proliferation
More informationDesign and FPGA Implementation of a Modified Radio Altimeter Signal Processor
Design and FPGA Implementation of a Modified Radio Altimeter Signal Processor A. Nasser, Fathy M. Ahmed, K. H. Moustafa, Ayman Elshabrawy Military Technical Collage Cairo, Egypt Abstract Radio altimeter
More informationDetection of Targets in Noise and Pulse Compression Techniques
Introduction to Radar Systems Detection of Targets in Noise and Pulse Compression Techniques Radar Course_1.ppt ODonnell 6-18-2 Disclaimer of Endorsement and Liability The video courseware and accompanying
More information