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

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

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	551-555
Number of pages	5
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	1
State	Published - Dec 1 1998

ASJC Scopus subject areas

Hardware and Architecture
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Subspace adaptive filtering techniques for multi-sensor DS-CDMA interference suppression",

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.",

author = "Weiping Xu and Honig, {Michael L.} and Zeidler, {James R.} and Milstein, {Laurence B.}",

year = "1998",

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language = "English (US)",

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AU - Xu, Weiping

AU - Honig, Michael L.

AU - Zeidler, James R.

AU - Milstein, Laurence B.

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 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.

AB - 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.

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SN - 1058-6393

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JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

ER -

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

Abstract

ASJC Scopus subject areas

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