DocumentCode :
1529211
Title :
Array processing techniques for multiuser detection
Author :
Schodorf, Jeffrey B. ; Williams, Douglas B.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Volume :
45
Issue :
11
fYear :
1997
fDate :
11/1/1997 12:00:00 AM
Firstpage :
1375
Lastpage :
1378
Abstract :
Techniques often used in the area of adaptive array signal processing are applied to the multiuser detection problem. The results of this effort include a robust detector, suitable for use in the presence of modeling errors, and a reduced-rank detector with improved transient behavior relative to full-rank detectors. Algorithm performance is presented in the form of bit-error-rate (BER) curves and least mean square (LMS)-like learning curves
Keywords :
adaptive signal detection; adaptive signal processing; array signal processing; code division multiple access; coding errors; direction-of-arrival estimation; error statistics; least mean squares methods; phase shift keying; pseudonoise codes; spread spectrum communication; transient analysis; BER curves; BPSK; DS-CDMA; LMS-like learning curves; adaptive array signal processing; algorithm performance; bit error rate; blind adaptive technique; constrained optimization detector; direct-sequence code division multiple access; full-rank detectors; least mean square; modeling errors; multiuser detection; reduced-rank detector; robust detector; transient behavior; AWGN; Adaptive arrays; Adaptive signal processing; Array signal processing; Constraint optimization; Detectors; Interference constraints; Multiuser detection; Robustness; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.649748
Filename :
649748
Link To Document :
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