Blind adaptive equalizer for broadband MIMO STBC based on PDF matching

S. Bendoukha, A. Daas, S. Weiss

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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.
LanguageEnglish
Pages2643-2647
Number of pages4
Publication statusPublished - Aug 2009
Event17th European Signal Processing Conference - Glasgow, Scotland
Duration: 24 Aug 200928 Aug 2009

Conference

Conference17th European Signal Processing Conference
CityGlasgow, Scotland
Period24/08/0928/08/09

Fingerprint

Equalizers
MIMO systems
Probability density function
Cost functions
Costs

Keywords

  • blind adaptive technique
  • space-time block coded
  • MIMO
  • probability density function
  • broadband MIMO channels

Cite this

Bendoukha, S., Daas, A., & Weiss, S. (2009). Blind adaptive equalizer for broadband MIMO STBC based on PDF matching. 2643-2647. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .
Bendoukha, S. ; Daas, A. ; Weiss, S. / Blind adaptive equalizer for broadband MIMO STBC based on PDF matching. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .4 p.
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Bendoukha, S, Daas, A & Weiss, S 2009, 'Blind adaptive equalizer for broadband MIMO STBC based on PDF matching' Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, 24/08/09 - 28/08/09, pp. 2643-2647.

Blind adaptive equalizer for broadband MIMO STBC based on PDF matching. / Bendoukha, S.; Daas, A.; Weiss, S.

2009. 2643-2647 Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .

Research output: Contribution to conferencePaper

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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 equalizeroutput — 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 datain 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 equalisationof STBC over broadband MIMO channels.

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Bendoukha S, Daas A, Weiss S. Blind adaptive equalizer for broadband MIMO STBC based on PDF matching. 2009. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .