Subspace adaptive filtering techniques for multi-sensor DS-CDMA interference suppression

Weiping Xu*, Michael L. Honig, James R. Zeidler, Laurence B. Milstein

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The performance of two subspace adaptive filtering techniques for multi-sensor DS-CDMA interference suppression is evaluated in the presence of frequency-selective fading. The first technique partially despreads (PD) the received signal, which is coherently combined with one of three different interference suppression filters: an exponential least squares (ELS) adaptive algorithm, a block least squares (BLS) adaptive algorithm, or an optimal MMSE filter to compute the filter coefficients. The second technique projects the received vectors onto an estimated signal subspace obtained by an appropriate eigendecomposition, which is coherently combined with a BLS adaptive algorithm.

Original languageEnglish (US)
Pages (from-to)551-555
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 1998

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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