Reduced-complexity ML multi-user detection for dispersive UWB signal based on combined stack and Viterbi trellis search

Weiyu Xu; Zhenqi Chen; Zihua Guo; R Yao

doi:10.1109/RAWCON.2004.1389124

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Conference proceeding

Reduced-complexity ML multi-user detection for dispersive UWB signal based on combined stack and Viterbi trellis search

Weiyu Xu, Zhenqi Chen, Zihua Guo and R Yao

Proceedings. 2004 IEEE Radio and Wireless Conference (IEEE Cat. No.04TH8746), pp.259-262

2004

DOI: 10.1109/RAWCON.2004.1389124

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Abstract

We propose a novel reduced-complexity maximum-likelihood (ML) detector for multi-user impulse radio ultra-wideband (UWB) signals in multi-path channels. By utilizing the unique trellis feature of a multi-user impulse radio UWB signal, and introducing a novel combined stack and Viterbi based trellis search (CSVS) algorithm, the proposed detector is optimal and enjoys much lower computation complexity compared with the brute-force search based ML detector. Simulation results show that the proposed detector achieves much better performance than the conventional simple matched filter UWB detector.

Detectors

Dispersion

Intersymbol interference

Matched filters

Maximum likelihood detection

Multiaccess communication

Multiple access interference

Multiuser detection

Ultra wideband technology

Viterbi algorithm

Details

Title: Subtitle: Reduced-complexity ML multi-user detection for dispersive UWB signal based on combined stack and Viterbi trellis search
Creators: Weiyu Xu - Microsoft (United States)
Zhenqi Chen - Microsoft Research Asia (China)
Zihua Guo - Microsoft Research Asia (China)
R Yao - Microsoft Research Asia (China)
Resource Type: Conference proceeding
Publication Details: Proceedings. 2004 IEEE Radio and Wireless Conference (IEEE Cat. No.04TH8746), pp.259-262
DOI: 10.1109/RAWCON.2004.1389124
Publisher: IEEE
Language: English
Date published: 2004
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197911702771

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