Moe Z. Win, Fernando Ramrez-Mireles, and Robert A. Scholtz. Mark A. Barnes. the experiments. This implies that the time resolution is

Similar documents
Fernando Ramrez-Mireles, Moe Z. Win, and Robert A. Scholtz, single-user multiple-access performance of IR assuming

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 6: Fading

EENG473 Mobile Communications Module 3 : Week # (12) Mobile Radio Propagation: Small-Scale Path Loss

Elham Torabi Supervisor: Dr. Robert Schober

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

UWB Channel Modeling

Channel Modeling ETI 085

Performance Analysis of Different Ultra Wideband Modulation Schemes in the Presence of Multipath

Mobile Radio Propagation Channel Models

UWB Small Scale Channel Modeling and System Performance

Lecture 7/8: UWB Channel. Kommunikations

DS-UWB signal generator for RAKE receiver with optimize selection of pulse width

AN ACCURATE ULTRA WIDEBAND (UWB) RANGING FOR PRECISION ASSET LOCATION

On the performance of Turbo Codes over UWB channels at low SNR

Wireless Channel Propagation Model Small-scale Fading

Time-Hopping SSMA Techniques for Impulse Radio with an Analog Modulated Data Subcarrier

Impact of Metallic Furniture on UWB Channel Statistical Characteristics

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

Performance of Impulse-Train-Modulated Ultra- Wideband Systems

IEEE P a. IEEE P Wireless Personal Area Networks. UWB Channel Characterization in Outdoor Environments

Ultra Wide Band Signal Simulations Using FDTD Method

HIGH accuracy centimeter level positioning is made possible

Ultra Wideband Radio Propagation Measurement, Characterization and Modeling

On the Spectral and Power Requirements for Ultra-Wideband Transmission

Channel Models. Spring 2017 ELE 492 FUNDAMENTALS OF WIRELESS COMMUNICATIONS 1

Performance Analysis of Rake Receivers in IR UWB System

Final Report for AOARD Grant FA Indoor Localization and Positioning through Signal of Opportunities. Date: 14 th June 2013

Ultra Wideband Channel Model for IEEE a and Performance Comparison of DBPSK/OQPSK Systems

Intra-Vehicle UWB MIMO Channel Capacity

R ied extensively for the evaluation of different transmission

Analyzing Pulse Position Modulation Time Hopping UWB in IEEE UWB Channel

IEEE P Wireless Personal Area Networks

Ultra Wideband Indoor Radio Channel Measurements

Intra-Vehicle UWB Channel Measurements and Statistical Analysis

Mobile Radio Propagation: Small-Scale Fading and Multi-path

Small-Scale Fading I PROF. MICHAEL TSAI 2011/10/27

Chapter 2 Channel Equalization

EITN85, FREDRIK TUFVESSON ELECTRICAL AND INFORMATION TECHNOLOGY

Simulation of Outdoor Radio Channel

CHAPTER 2 WIRELESS CHANNEL

A Statistical Model for Angle of Arrival in Indoor Multipath Propagation

Performance Evaluation of a UWB Channel Model with Antipodal, Orthogonal and DPSK Modulation Scheme

5 GHz Radio Channel Modeling for WLANs

Indoor Wideband Time/Angle of Arrival Multipath Propagation Results

RECOMMENDATION ITU-R P The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands

Narrow Band Interference (NBI) Mitigation Technique for TH-PPM UWB Systems in IEEE a Channel Using Wavelet Packet Transform

WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING

ABSTRACT. Introduction. Keywords: Powerline communication, wideband measurements, Indian powerline network

Hardware-in-the-Loop Testing of Wireless Systems in Realistic Environments

On the UWB System Coexistence With GSM900, UMTS/WCDMA, and GPS

CALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING

PERFORMANCE ANALYSIS OF ULTRA WIDEBAND COMMUNICATION SYSTEMS. LakshmiNarasimhan SrinivasaRaghavan

Part 4. Communications over Wireless Channels

Chapter 5 Small-Scale Fading and Multipath. School of Information Science and Engineering, SDU

Text Book. References. Andrea Goldsmith, Wireless Communications, Cambridge University Press Wireless Communications

Experimental Evaluation Scheme of UWB Antenna Performance

Template Estimation in Ultra-Wideband Radio

Channel Model Considerations for P802.11af

Channel Modelling ETIM10. Channel models

SUB-BAND ANALYSIS IN UWB RADIO CHANNEL MODELING

The Measurement and Characterisation of Ultra Wide-Band (UWB) Intentionally Radiated Signals

ROOT MULTIPLE SIGNAL CLASSIFICATION SUPER RESOLUTION TECHNIQUE FOR INDOOR WLAN CHANNEL CHARACTERIZATION. Dr. Galal Nadim

Revision of Lecture One

Lecture Fundamentals of Data and signals

Ultra Wideband Transceiver Design

Overview. Measurement of Ultra-Wideband Wireless Channels

Performance of RAKE receiver over different UWB channel

Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario

DESIGN AND ANALYSIS OF MULTIBAND OFDM SYSTEM OVER ULTRA WIDE BAND CHANNELS

Performance of Bit Error Rate and Power Spectral Density of Ultra Wideband with Time Hopping Sequences.

Measuring Galileo s Channel the Pedestrian Satellite Channel

IEEE Working Group on Mobile Broadband Wireless Access <

Ranging in a Dense Multipath Environment Using an UWB Radio Link

Application of pulse compression technique to generate IEEE a-compliant UWB IR pulse with increased energy per bit

Characteristics of the Land Mobile Navigation Channel for Pedestrian Applications

Estimation of speed, average received power and received signal in wireless systems using wavelets

Narrow- and wideband channels

MAKING TRANSIENT ANTENNA MEASUREMENTS

SIGNAL PROCESSING FOR COMMUNICATIONS

Narrow- and wideband channels

CHANNEL MODELS, INTERFERENCE PROBLEMS AND THEIR MITIGATION, DETECTION FOR SPECTRUM MONITORING AND MIMO DIVERSITY

Antennas and Propagation. Chapter 6a: Propagation Definitions, Path-based Modeling

The Impact of a Wideband Channel on UWB System Design

Application Note 37. Emulating RF Channel Characteristics

Center for Advanced Computing and Communication, North Carolina State University, Box7914,

System Simulations of DSTRD and TH-PPM for Ultra Wide Band (UWB) Wireless Communications

Multipath Beamforming UWB Signal Design Based on Ternary Sequences

Multi-Path Fading Channel

Multipath fading effects on short range indoor RF links. White paper

T HE E VOLUTION OF WIRELESS LANS AND PANS ABSTRACT

RESEARCH ON METHODS FOR ANALYZING AND PROCESSING SIGNALS USED BY INTERCEPTION SYSTEMS WITH SPECIAL APPLICATIONS

Channel-based Optimization of Transmit-Receive Parameters for Accurate Ranging in UWB Sensor Networks

UWB performance assessment based on recent FCC regulation and measured radio channel characteristics

Unit 5 - Week 4 - Multipath Fading Environment

Transmit Diversity Schemes for CDMA-2000

STATISTICAL ANALYSIS OF INDOOR UWB CHANNEL PARAMETERS IN DIFFERENT WALL CORRIDORS AND THROUGH-WALL ENVIRONMENTS SREEVINAY NETRAPALA

The prediction of the time and the spatial profile for broadband land mobile services using UHF and SHF bands

EC 554 Data Communications

Transcription:

Ultra-Wide Bandwidth () Signal Propagation for Outdoor Wireless Communications Moe Z. Win, Fernando Ramrez-Mireles, and Robert A. Scholtz Communication Sciences Institute Department of Electrical Engineering-Systems University of Southern California, Los Angeles, CA 989-565 USA Mark A. Barnes Time Domain Systems, Inc. 67 Odyssey Drive, Suite, Huntsville, AL 3586 USA ABSTRACT Ultra-wide bandwidth () signal propagation experiment is performed in a rural terrain to characterize the outdoor signal propagation channel. The bandwidth of the signal used in this experiment is in excess of one GHz. The test apparatus and measurement technique are described. From the measured pulse response the mean delay, delay spread, propagation loss and forestation loss are determined. I. INTRODUCTION Propagation environments place the fundamental limitations on the performance of the wireless communications systems. An accurate characterization of the propagation channel is crucial in many aspects of communication systems engineering such as deriving optimal methods, estimating the system performance, performing design trade-os, etc. Many propagation measurements have been made over the years on both indoor and outdoor channels with much \narrower bandwidths" with emphasis on urban and man-made environments. However, characterization of signal propagation channel in a rural terrain has not been available previously in the literature. Previous measurements and models are inadequate for applications that require communications mainly in natural terrain with very little man made objects. This paper describes a test apparatus and technique of a pilot experiment to characterize communication channel through a forest. II. EXPERIMENTAL DESIGN A. Measurement System. The measurement system for obtaining the impulse response is shown in gure. The test apparatus consists of a periodic pulse generator that transmits radar-like pulses, with bandwidth on the order of.3 GHz, at every 5 nanoseconds using a step recovery diode-based pulser connected to a antenna. A probe antenna was placed near the transmitter's antenna and a xed length of cable was routed to the receiver for triggering. Therefore all recorded multipath proles have the same absolute delay reference, and time delay measurements of the signals arriving to the receiver antenna via dierent propagation paths can be made. The receiver is set in such away that every 5 nanoseconds window of measurements contains 4 samples throughout the experiments. This implies that the time resolution is 48.88 picoseconds between the samples and the equivalent sampling rate is.48 GHz. TRANSMITTER PROBE ANTENNA CABLE.3 GHz.3 GHz 3 db LNA CH4 HP 54 SAMPLING SCOPE TRIG.3 GHz COMPUTER The research described in this paper was supported in part by the Joint Services Electronics Program under contract F496-94-, and in part by the Integrated Media Systems Center, a National Science Foundation Engineering Research Center with additional support from the Annenberg Center for Communication at the University of Southern California and the California Trade and Commerce Agency. The graduate studies of Mr. Ramrez are supported by the Conacyt Grant. The corresponding author can be reached by E-mail at win@milly.usc.edu Fig.. Block Diagram showing the test apparatus conguration.

B. Measurement Environment The test area is typical of the dense native upper Alabama forest, consisting of southern pines, oaks, dogwoods, cedars, sugar maples, thickets and poison ivy. The multipath propagation channel is frozen during the measurement time by making sure that people in the vicinity of the transmitter and receiving antennas have stopped moving. C. Experimental Procedure A short duration pulse is transmitted as an excitation signal of the propagation channel. The received signal represents the convolution with the excitation pulse and impulse response of the channel. Time varying characteristic of the channel can be observed by periodic repetition of the pulse transmission. A pulse repetition time of this pulse equal to 5 ns is suciently short to characterize the time varying nature of the individual propagation pulse, and long enough to ensure that multipath response of the previous pulse transmission has decayed. Using the average capability ofthe receiver apparatus, 3 sequentially measured multipath pro- les at these same exact location are averaged to reduce noise levels. During each of the multipath prole measurements, both the transmitter and receiver are kept stationary. The measurements are made at c feet away from the transmitter and d feet deep into the line of foliage. Figure (a) shows the nanoseconds long typical multipath measurement where the receiver located at (c,d) = (,) feet. Similar results for (c,d) = (3,) and (c,d) = (5,4) are shown in gure (b) and (c), respectively. The received signal is matched-ltered to produce the corresponding power-delay proles shown at the bottom of in gures (a), (b) and (c). III. MULTIPATH PROFILE PARAMETERS The baseband transmitted pulse is p(t). The channel is represented by multiple paths having real positive gains f k g and propagation delays f k g, where k is the path index. Thus, the channel impulse response is given by h(t) = X k k (t, k ); where () is the Dirac delta function. The received signal is the time convolution of p(t) and h(t) and is given by x(t) = X k k p(t, k ): after passing through a square envelope detector, the power prole is s(t) 4 = jy(t)j = X k k j(t, k)j : Figure shows three examples of x(t), y(t) and s(t). A. RMS Delay Spread and Mean Excess Delay Two simple parameters that are useful in describing the overall characteristics of the multipath prole h (t) are the rms delay spread where n 4 = 4 = q, () P k n k k P k k ; n =;; and the mean excess delay. The above parameters can be obtained directly from the received power prole s(t) [Saleh, 987][Hashemi, 993]. Dene the received power prole moments M n = X k (t k, T A ) n s(t k ); n =;;; and the transmitted pulse moments m n = X k (t k, T B ) n (t k ); n =;;; where T A and T B are the times where s(t) and (t) start taking values dierent from zero, respectively. Also dene the corresponding averages and the variances It can be shown that t n s = M n M ; n =;; t n = m n m ; s = t s, t s ; = t, t : n=;; This signal is matched-ltered to improve the signal to noise ratio. The ltered signal is given by y(t) = X k k (t, k ); and = t s, t ; = q s, : where (t) is the convolution of p(t) with p(,t). In this experiment we assume that there is no overlap of pulses, i.e., j k, l j > nanoseconds when k 6= l. Hence, The experimental values for and are shown in table I. It can be seen that and increases as a function of distance, except the last measurement.

amplitude units amplitude units.5 (a)..5..5.5 (b) 4.5 (c).5 power units 5 power units. Fig.. Propagation losses through foliage and trees. Signal received at distance c feet from the transmitter and d feet depth into the line of foliage. (a) c=, d=. (b) c=3, d=. (c) c=5, d=4. Top: Received signal x(t). Middle: Matched-ltered signal y(t). Bottom : Power-delay prole s(t). range forest Exp. Value Exp. Value (m) depth (m) (ns) (ns) 3 3.77 3. 6. 3 5. 3.7 9. 6..49 38.8. 9. 33.5 43.9 5.. 63.55 48.98 8.3 5. 34.6 34.6 TABLE I Estimated values of and tau as a function of range. B. Power Attenuation Another simple parameter that is useful in describing the characteristics of the multipath prole s(t) is the total multipath power gain G 4 = X k k < G can be calculated from the prole moments as follows G = M m The spatial average of the power gain G av as a function of the distance r from the transmitter is, in general, a decreasing function of r. The logarithmic value of this attenuation is L(r) =,log Gav (r) G av (r ) where r is a reference point. L(r) can be calculated from the prole moments as follows L(r) =,log M (r) M (r ) The plot of L(r) is shown in gure, along with the freespace propagation loss for = and =3. C. Forestation Losses L (r) =,log (r, ) We are also interested in evaluating the so called peak \forestation losses" due to foliage and trees. In particular, we want to conrm that a particular narrowband loss model can be applied to our ultra-wide band case. The narrowband model is [Weissoerger, 98] L f = 8 >< >: :45f :84 d f ;d f 4m, f :GHz :33f :84 d :588 f ;4md f 4m, f :GHz

RELATIVE ATTENUATION (db) 5 5 5 free space loss with alpha=3 Loss(r) free space loss with alpha= DISTANCE (meters) Fig. 3. Power attenuation L(r) at distance r from the transmitter. range forest Theo. Est. (m) depth Loss Peak (m) (db) (db) 3 6. 3.5.4 9. 6. 3.8. 9. 4.4 4.9 5. 5.9 7.9 8.3 5. 7. 8.8 TABLE II Theoretical and Estimated values of Forestation Losses as a function of range. where L f is the forestation loss in db, f is the frequency in GHz and d f is the depth into the forest in meters. Table II shows the theoretical value of the forestation loss at f = :GHz determined using the narrowband model, as well as the experimental peak estimated loss calculated at at f =:GHz using the spectrum of the received signal x(t). The values show that the narrowband model can be applied to the case. IV. MULTIPATH CHANNEL CHARACTERIZATION Degradation due to multipath channel can be separated from the eect of imperfect reconstruction of the received waveform by considering the innite RAKE (IRAKE) receiver. IRAKE receiver is RAKE receiver with unlimited resources (correlators) so that it would, in principle, construct a lter matched to the received waveform perfectly. This serves as the best case (bench mark) for RAKE receiver design. Multipath degradation is characterized by computing the IRAKE receiver correlator output, R IRAKE () and compare it with the correlation function of an ideal channel,r Ideal () (in the absence of multipath). R IRAKE () is computed for dierent locations from the measured responses. Figure 4 shows R IRAKE () function calculated for dierent measurements and gure 5 illustrates a typical ensemble of this functions that must be considered developing a modulation technique based on pulse position modulation [Ramirez, 997]. This suggest that multipath places fundamental limits on the ability to extend pulse-position modulation techniques to M-ary case. V. CONCLUSIONS A pilot experiment of propagation measurements has been made in rural terrain using a periodic pulse generator that transmits pulses with bandwidth on the order of.3 GHz at every 5 nanoseconds. Multipath measurements are made. The same absolute delay reference for all recorded multipath proles is achieved, and the time delay measurements of the signals arriving to the received antenna via dierent propagation paths are made. Mean delay, delay spread, propagation loss and forestation losses are calculated. A new concept called Innite RAKE Receiver is introduced, which serves as the best case (bench mark) for RAKE receiver design and permits to estimate the degradation due to multipath channel. This pilot experiment serves as a preliminary look at the channel for rural terrain but more extensive measurements are necessary in the future for complete statistical characterization of such channel. Acknowledgments The authors wish to thank Troy Fuqua, Glenn Wolenec and Larry Fullerton of Time Domain Systems, and Paul Withington of Pulson Communications for several helpful discussions concerning the technology, capabilities, and signal processing of impulse signals. References [Hashemi, 993] H. Hashemi. \The Indoor Propagation Channel," Proc. IEEE Vol. 8, issue 7, July 993, pp. 943-968. [Ramirez, 997] F. Ramrez-Mireles, M. Z. Win and R. A. Scholtz, \Signal Selection for the Indoor Wireless Impulse Radio Channel," IEEE VTC'97 Proceedings, May 997. [Saleh, 987] A. M. Saleh and R A. Valenzuela, \A Statistical Model for the Indoor Multipath Propagation," IEEE JSAC Vol. SAC-5, No., February 987, pp. 8-37. [Weissoerger, 98] M. Weissoerger, \An Initial Critical Summary of Models for Predicting the Attenuation of Radio Waves by Trees," IIT Research Institute, July 98.

(a) (b) (c).5.5.5.5.5.5 (d) (e) (f).5.5.5 Fig. 4. R IRAKE () calculated from signal received at distance c feet from the transmitter and d feet depth into the line of foliage. (a) c=, d=. (b) c=, d=. (c) c=3, d=. (d) c=4, d=3. (e) c=5, d=4. (f) c=6, d=5..5.5 5 4 3 3 4 5 Fig. 5. R IRAKE () in gure 4 is shown here superimposed.