MMSE detection of CDMA signals. Analysis for random signature sequences

Upamanyu Madhow*, Michael I. Honig

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

The performance of a finite complexity Minimum Mean Squared Error (MMSE) linear detector for demodulating Direct Sequence Spread-Spectrum (DS/SS) Code Division Multiple Access (CDMA) signals is studied. The MMSE detector is near-far resistant, and can be implemented adaptively when no explicit knowledge of the interferers' signature sequences is available. We assume that users are assigned random binary signature sequences and derive upper and lower bounds on the average near-far resistance of the MMSE detector. For synchronous CDMA, the MMSE detector considered has the same near-far resistance as the maximum likelihood and decorrelating detectors, so that the bounds derived apply to these detectors as well. Approximate expressions for average error probability and signal-to-interference ratio are also presented, and are compared with the analogous results for the matched filter receiver with random signature sequences.

Original languageEnglish (US)
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0780308786
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: Jan 17 1993Jan 22 1993

Other

OtherProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period1/17/931/22/93

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'MMSE detection of CDMA signals. Analysis for random signature sequences'. Together they form a unique fingerprint.

Cite this