Performance Evaluation of Receivers for Ultra-Wideband Wireless Communication Systems
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Date
2011-07
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Addis Ababa University
Abstract
Ultra Wide Band (UWB) is a promising technology for short range broadband wireless data communication, sensor networks, radar imaging and target identification, location finding and positioning applications. This technology is the best choice for short range wireless communication systems since it is cost-effective, power-efficient and has extremely higher data rates. Any wireless system that has a fractional bandwidth greater than or equal to 20% or a total bandwidth larger than or equal to 500MHz enters in the UWB definition. The Federal Communications Commission (FCC) has allocated 7.5GHz of spectrum for unlicensed use of ultra-wideband (UWB) devices in the 3.1 to 10.6 GHz frequency band and limits the maximum power spectral density (PSD) of the transmitted signal to -41.3dBm/MHz.
The main subject of this thesis is to evaluate bit error rate (BER) performance of RAKE and adaptive MMSE receivers for UWB wireless communication systems. First, bit error rate (BER) performance of RAKE receiver on standard IEEE 802.15.3a channel model has been simulated. Here, the BER performance of RAKE receiver for different RAKE types, number of RAKE fingers, combining techniques, length of bit repetition codes, transmitted signal formats and channel types has been evaluated and compared for single user scenario. The simulation results show that an ideal ARAKE receiver using TH-BPSK-UWB transmitted signal format, MRC technique and applying bit repetition coder has the best performance. Then, bit error rate (BER) performance of adaptive MMSE receiver using LMS, NLMS and RLS adaptive algorithms has been evaluated and analyzed on standard IEEE 802.15.3a channel model for different number of users and the simulation results illustrate that adaptive MMSE receiver using RLS algorithm has the best BER performance. Finally, BER performance SRAKE receiver with 5 and 10 fingers has been compared with BER performance adaptive MMSE receiver using the above three adaptive algorithms for single user scenario. The simulation result describes that adaptive MMSE receiver using all the above three algorithms has by far the best BER performance compared to SRAKE receiver with 5 and 10 fingers. All the above simulations have been conducted using MATLAB software.
Key Words: UWB, RAKE Receiver, Adaptive MMSE Receiver, LMS, NLMS, RLS, Modulation, Multiple Access, Spread Spectrum, WPAN
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Keywords
Uwb, Rake Receiver, Adaptive Mmse Receiver, Lms, Nlms, Rls, Modulation, Multiple Access, Spread Spectrum, Wpan