DocumentCode
3463542
Title
Semi-blind decorrelating multiuser detection for synchronous CDMA
Author
Wang, S. ; Caffery, J., Jr. ; Shen, H.
Author_Institution
Dept. of ECECS, Cincinnati Univ., OH, USA
Volume
1
fYear
2003
fDate
20-20 March 2003
Firstpage
379
Abstract
Multiuser detection is a key technology for combating multiple access interference (MAI) in CDMA systems. In this paper, we propose three effective one-shot multiuser semi-blind decorrelating detectors based on least squares (LS), total least squares (TLS) and mixed LS/TLS (MLS) formulations. All of the proposed algorithms are based on the classic decorrelating detector and a new semi-blind signature matrix. Different assumptions regarding the noise in the proposed semi-blind signature matrix lead to different detection algorithms. We also find that the classic decorrelating detector can be regarded as a special case of the proposed LS decorrelating detector. The proposed detection algorithms are simple and direct, where only the timing, signature and amplitude of the desired user are required. In addition, no search or convergence procedure is required. Finally, theoretical analysis and computer simulations are presented to illustrate the performance of the proposed algorithms.
Keywords
code division multiple access; decorrelation; intersymbol interference; least squares approximations; multiuser detection; radio receivers; synchronisation; CDMA systems; MAI; decorrelating detector; least squares; mixed least squares; multiple access interference; semiblind decorrelating multiuser detection; semiblind signature matrix; Code division multiplexing; Decorrelation; Detection algorithms; Detectors; Least squares methods; Multiaccess communication; Multilevel systems; Multiple access interference; Multiuser detection; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
Conference_Location
New Orleans, LA, USA
ISSN
1525-3511
Print_ISBN
0-7803-7700-1
Type
conf
DOI
10.1109/WCNC.2003.1200379
Filename
1200379
Link To Document