Lattice-based subspace decomposition for DS-CDMA detection

Graeme Woodward*, Michael L. Honig, Branka S. Vucetic

*Corresponding author for this work

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

3 Scopus citations

Abstract

Lattice filtering is applied to the MMSE (Minimum Mean Squared Error) DS-CDMA receiver. The lattice performs Cholesky decomposition on the sampled input covariance matrix. This identifies information about signal and noise subspaces, which can be exploited to decrease complexity of the MMSE receiver using LS (Least Squares) adaptive algorithms. Two reduced complexity techniques are considered: (1) filter truncation and (2) linear combining of multiple truncated sub-filters. In both cases, the dimension of the (sub)filters must be larger than that of the user subspace. Numerical results presented compare performance of these techniques using LMS and LS algorithms.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Spread Spectrum Techniques & Applications
PublisherIEEE
Pages164-168
Number of pages5
Volume1
StatePublished - Jan 1 1998
EventProceedings of the 1998 IEEE 5th International Symposium on Spread Spectrum Techniques & Applications, IEEE ISSSTA. Part 3 (of 3) - Sun City, S Afr
Duration: Sep 2 1998Sep 4 1998

Other

OtherProceedings of the 1998 IEEE 5th International Symposium on Spread Spectrum Techniques & Applications, IEEE ISSSTA. Part 3 (of 3)
CitySun City, S Afr
Period9/2/989/4/98

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Woodward, G., Honig, M. L., & Vucetic, B. S. (1998). Lattice-based subspace decomposition for DS-CDMA detection. In IEEE International Symposium on Spread Spectrum Techniques & Applications (Vol. 1, pp. 164-168). IEEE.