DocumentCode
394033
Title
Bayesian detector and adaptive receivers for TH-SSMA ultra-wide bandwidth impulse radio
Author
Yao-Win Wong ; Scaglione, Anna
Author_Institution
Sch. of Electron. & Comput. Eng., Cornell Univ., New York, NY, USA
Volume
1
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
738
Abstract
In this paper, we derive and analyze a Bayesian detector for a multiple access ultra-wideband (UWB) system, which only requires the knowledge of the signature code of the user of interest. The receiver structure is equivalent to a single user matched filter (MF) receiver followed by an adaptive threshold. Since the multiple access interference (MAI) is not Gaussian, this detector outperforms the conventional MF detector at the expense of the additional complexity necessary for calculating the adaptive threshold. In the two-user case, as the AWGN tends to zero, the probability of error of the Bayesian detector goes to zero for any finite-length time-hopping codes. This is in contrast to the MF receiver, which requires infinitely long codes to achieve the same result. Finally, we propose a linear MMSE adaptive receiver to mitigate MAI with low complexity.
Keywords
AWGN; Bayes methods; broadband networks; error statistics; least mean squares methods; matched filters; multi-access systems; radio receivers; signal detection; spread spectrum communication; AWGN; Bayesian detector; MAI; TH-SSMA; UWB; adaptive receiver; adaptive threshold; finite-length time-hopping codes; impulse radio; matched filter detector; multiple access interference; signature code; single user matched filter receiver; time-hopping spread spectrum multiple access; two-user case; ultrawideband systems; AWGN; Bandwidth; Bayesian methods; Delay effects; Detectors; Multiple access interference; Pulse modulation; Receivers; Spread spectrum communication; Ultra wideband technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197278
Filename
1197278
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