Blind IR Channel Equalization Based on Second-Order Statistics

Fangjiong CHEN; Sam KWONG; Wenfei NIE; Gang WEI; Fei JI

doi:10.1109/VETECS.2006.1683274

Blind IR Channel Equalization Based on Second-Order Statistics

Fangjiong CHEN
, Sam KWONG
, Wenfei NIE
, Gang WEI
, Fei JI

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

Direct blind equalization of Single-Input-Single-Output (SISO) Infinite-Impulse-Response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special Single-Input-Multiple-Output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, Zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings of the 2006 IEEE 63rd Vehicular Technology Conference
Publisher	IEEE
Pages	2334-2338
Number of pages	5
ISBN (Print)	1780393929
DOIs	https://doi.org/10.1109/VETECS.2006.1683274
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE 63rd Vehicular Technology Conference - Melbourne, Australia Duration: 7 Oct 2006 → 10 Oct 2006

Conference

Conference	2006 IEEE 63rd Vehicular Technology Conference
Abbreviated title	VTC 2006-Spring
Country/Territory	Australia
City	Melbourne
Period	7/10/06 → 10/10/06

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10.1109/VETECS.2006.1683274

Cite this

@inproceedings{b41502430633462b9b4e626a14fb8f10,

title = "Blind IR Channel Equalization Based on Second-Order Statistics",

abstract = "Direct blind equalization of Single-Input-Single-Output (SISO) Infinite-Impulse-Response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special Single-Input-Multiple-Output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, Zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations. {\textcopyright} 2006 IEEE.",

author = "Fangjiong CHEN and Sam KWONG and Wenfei NIE and Gang WEI and Fei JI",

year = "2006",

doi = "10.1109/VETECS.2006.1683274",

language = "English",

isbn = "1780393929",

pages = "2334--2338",

booktitle = "Proceedings of the 2006 IEEE 63rd Vehicular Technology Conference",

publisher = "IEEE",

note = "2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring ; Conference date: 07-10-2006 Through 10-10-2006",

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TY - GEN

T1 - Blind IR Channel Equalization Based on Second-Order Statistics

AU - CHEN, Fangjiong

AU - KWONG, Sam

AU - NIE, Wenfei

AU - WEI, Gang

AU - JI, Fei

PY - 2006

Y1 - 2006

N2 - Direct blind equalization of Single-Input-Single-Output (SISO) Infinite-Impulse-Response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special Single-Input-Multiple-Output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, Zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations. © 2006 IEEE.

AB - Direct blind equalization of Single-Input-Single-Output (SISO) Infinite-Impulse-Response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special Single-Input-Multiple-Output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, Zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations. © 2006 IEEE.

UR - https://www.scopus.com/pages/publications/34047109642

U2 - 10.1109/VETECS.2006.1683274

DO - 10.1109/VETECS.2006.1683274

M3 - Conference paper (refereed)

SN - 1780393929

SP - 2334

EP - 2338

BT - Proceedings of the 2006 IEEE 63rd Vehicular Technology Conference

PB - IEEE

T2 - 2006 IEEE 63rd Vehicular Technology Conference

Y2 - 7 October 2006 through 10 October 2006

ER -

Blind IR Channel Equalization Based on Second-Order Statistics

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Conference

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