DocumentCode :
377347
Title :
A low complexity MMSE multiuser detector for DS-CDMA
Author :
Sud, Seema ; Myrick, Wilbur ; Cifuentes, Paula ; Goldstein, J.Scott ; Zoltowski, Michael D.
Author_Institution :
Sci. Applications Int. Corp., Arlington, VA, USA
Volume :
1
fYear :
2001
fDate :
4-7 Nov. 2001
Firstpage :
404
Abstract :
A novel, low complexity, reduced rank multiuser detector (MUD) for DS-CDMA is presented. The solution is derived for the general case of an asynchronous DS-CDMA system in frequency selective multipath. The joint MUD solution is shown to be equivalent to a bank of parallel, single user detectors, previously shown only for synchronous users. The algorithm is implemented in low complexity form, using the efficient correlations subtractive architecture of the reduced rank multistage Wiener filter (CSA-MWF). The reduced rank algorithm is not based on an eigen-decomposition, which requires the signal subspace rank to be greater than or equal to the number of signals present in the system, and is shown to be nearly independent of the number of signals. It is shown that the joint and parallel CSA-MWF implementations perform identically to the full rank MMSE MUD and approaches single user, full rank performance at significantly reduced ranks. Bit error rate (BER) performance, as a function of rank, signal-to-noise ratio, number of users, code type and synchronism among the codes, is analyzed.
Keywords :
Wiener filters; cellular radio; code division multiple access; computational complexity; error statistics; least mean squares methods; multipath channels; multiuser channels; radio receivers; signal detection; spread spectrum communication; 3G systems; BER; MMSE; Wiener filter; asynchronous DS-CDMA; bit error rate; complexity; correlations subtractive architecture; frequency selective multipath; multistage filter; multiuser detector receiver; reduced rank filter; signal-to-noise ratio; Bandwidth; Bit error rate; Detectors; Frequency; Intersymbol interference; Multiaccess communication; Multiuser detection; Signal detection; Signal to noise ratio; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7147-X
Type :
conf
DOI :
10.1109/ACSSC.2001.986959
Filename :
986959
Link To Document :
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