DocumentCode :
1537947
Title :
On the average near-far resistance for MMSE detection of direct sequence CDMA signals with random spreading
Author :
Madhow, Upamanyu ; Honig, Michael L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
45
Issue :
6
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
2039
Lastpage :
2045
Abstract :
The performance of a near-far-resistant, finite-complexity, minimum mean squared error (MMSE) linear detector for demodulating direct sequence (DS) code-division multiple access (CDMA) signals is studied, assuming that the users are assigned random signature sequences. We obtain tight upper and lower bounds on the expected near-far resistance of the MMSE detector, averaged over signature sequences and delays, as a function of the processing gain and the number of users. Since the MMSE detector is optimally near-far-resistant, these bounds apply to any multiuser detector that uses the same observation interval and sampling rate. The lower bound on near-far resistance implies that, even without power control, linear multiuser detection provides near-far-resistant performance for a number of users that grows linearly with the processing gain
Keywords :
code division multiple access; delays; demodulation; least mean squares methods; radio receivers; random processes; sequences; signal detection; spread spectrum communication; AWGN; DS-CDMA signals; MMSE detection; MMSE linear detector; average near-far resistance; delays; demodulation; direct sequence code-division multiple access; finite-complexity detector; linear multiuser detection; lower bound; minimum mean squared error; near-far-resistant detector; observation interval; performance; processing gain; random signature sequences; random spreading; receiver; sampling rate; upper bound; Decorrelation; Delay; Detectors; Interference suppression; Multiaccess communication; Multiuser detection; Nonlinear filters; Performance gain; Power control; Sampling methods;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.782129
Filename :
782129
Link To Document :
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