Weighted subspace method for FIR multichannel estimation

Fangjiong CHEN; Sam KWONG; Gang WEI

doi:10.1049/el:20020325

Weighted subspace method for FIR multichannel estimation

Fangjiong CHEN, Sam KWONG, Gang WEI

Research output: Journal Publications › Journal Article (refereed) › peer-review

Abstract

A blind finite impulse response (FIR) multichannel estimation using the weighted signal subspace method is presented. Using this approach, it is shown that the noise subspace can be represented by the channel parameters. A weighted matrix of the signal subspace method is applied to achieve a deterministic estimation for FIR multichannels. Simulation results show the efficiency of the proposed algorithms.

Original language	English
Pages (from-to)	481-483
Journal	Electronics Letters
Volume	38
Issue number	10
DOIs	https://doi.org/10.1049/el:20020325
Publication status	Published - 9 May 2002
Externally published	Yes

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title = "Weighted subspace method for FIR multichannel estimation",

abstract = "A blind finite impulse response (FIR) multichannel estimation using the weighted signal subspace method is presented. Using this approach, it is shown that the noise subspace can be represented by the channel parameters. A weighted matrix of the signal subspace method is applied to achieve a deterministic estimation for FIR multichannels. Simulation results show the efficiency of the proposed algorithms.",

author = "Fangjiong CHEN and Sam KWONG and Gang WEI",

year = "2002",

month = may,

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doi = "10.1049/el:20020325",

language = "English",

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journal = "Electronics Letters",

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T1 - Weighted subspace method for FIR multichannel estimation

AU - CHEN, Fangjiong

AU - KWONG, Sam

AU - WEI, Gang

PY - 2002/5/9

Y1 - 2002/5/9

N2 - A blind finite impulse response (FIR) multichannel estimation using the weighted signal subspace method is presented. Using this approach, it is shown that the noise subspace can be represented by the channel parameters. A weighted matrix of the signal subspace method is applied to achieve a deterministic estimation for FIR multichannels. Simulation results show the efficiency of the proposed algorithms.

AB - A blind finite impulse response (FIR) multichannel estimation using the weighted signal subspace method is presented. Using this approach, it is shown that the noise subspace can be represented by the channel parameters. A weighted matrix of the signal subspace method is applied to achieve a deterministic estimation for FIR multichannels. Simulation results show the efficiency of the proposed algorithms.

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U2 - 10.1049/el:20020325

DO - 10.1049/el:20020325

M3 - Journal Article (refereed)

SN - 0013-5194

VL - 38

SP - 481

EP - 483

JO - Electronics Letters

JF - Electronics Letters

IS - 10

ER -

Weighted subspace method for FIR multichannel estimation

Abstract

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