Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting

A. Daas; S. Bendoukha; S. Weiss

doi:10.1109/ACSSC.2009.5469878

Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting

A. Daas, S. Bendoukha, S. Weiss

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

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Abstract

In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.

Original language	English
Title of host publication	Conference record of 43rd asilomar conference on signals, systems & computers
Place of Publication	New York
Publisher	IEEE
Pages	1380-1384
Number of pages	5
ISBN (Print)	9781424458257
DOIs	https://doi.org/10.1109/ACSSC.2009.5469878
Publication status	Published - Nov 2009
Event	43rd Asilomar Conference on Signals, Systems, and Computer - Duration: 1 Jan 1900 → …

Conference

Conference	43rd Asilomar Conference on Signals, Systems, and Computer
Period	1/01/00 → …

Keywords

signals
space-time block coded
probability density function
In this paper, we propose a new blind adaptive technique
stochastic gradient descent
MIMO channel
MIMO

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10.1109/ACSSC.2009.5469878

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Cite this

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title = "Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting",

abstract = "In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.",

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author = "A. Daas and S. Bendoukha and S. Weiss",

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doi = "10.1109/ACSSC.2009.5469878",

language = "English",

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publisher = "IEEE",

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AU - Daas, A.

AU - Bendoukha, S.

AU - Weiss, S.

PY - 2009/11

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N2 - In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.

AB - In this paper, we propose a new blind adaptive technique used for the equalisation of space-time block coded (STBC) signals transmitted over a dispersive MIMO channel. The proposed approach is based on minimising the difference between the probability density function (PDF) of the equalizer output — estimated via the Parzen window method — and a desired PDF based on the source symbols. The cost function combines this PDF fitting with an orthogonality criterion derived from the STBC structure of the transmitted data in order to discourage the extraction of identical signals. This cost function motivates an effective and low-cost stochastic gradient descent algorithm for adapting the equaliser. The performance is demonstrated in a number of simulations and benchmarked against other blind schemes for the equalisation of STBC over broadband MIMO channels.

KW - signals

KW - space-time block coded

KW - probability density function

KW - In this paper, we propose a new blind adaptive technique

KW - stochastic gradient descent

KW - MIMO channel

KW - MIMO

UR - http://www.asilomarssc.org/asil09/prog09/Asilomar2009_2pages.pdf

U2 - 10.1109/ACSSC.2009.5469878

DO - 10.1109/ACSSC.2009.5469878

M3 - Conference contribution book

SN - 9781424458257

SP - 1380

EP - 1384

BT - Conference record of 43rd asilomar conference on signals, systems & computers

PB - IEEE

CY - New York

T2 - 43rd Asilomar Conference on Signals, Systems, and Computer

Y2 - 1 January 1900

ER -

Blind adaptive equalizer for broadband MIMO time reversal STBC based on PDF fitting

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