Soft constraint satisfaction multimodulus blind equalization algorithms

Shafayat Abrar; Azzedine Zerguine; Mohamed Deriche

Soft constraint satisfaction multimodulus blind equalization algorithms

Shafayat Abrar
, Azzedine Zerguine
, Mohamed Deriche

King Fahd University of Petroleum and Minerals

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

In this work, a new algorithm based on minimum-disturbance principle with relaxation is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm is demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.

Original language	English
Pages (from-to)	II853-II856
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	2
State	Published - 2004
Externally published	Yes
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: 17 May 2004 → 21 May 2004

Cite this

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title = "Soft constraint satisfaction multimodulus blind equalization algorithms",

abstract = "In this work, a new algorithm based on minimum-disturbance principle with relaxation is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm is demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.",

author = "Shafayat Abrar and Azzedine Zerguine and Mohamed Deriche",

year = "2004",

language = "English",

volume = "2",

pages = "II853--II856",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

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TY - JOUR

T1 - Soft constraint satisfaction multimodulus blind equalization algorithms

AU - Abrar, Shafayat

AU - Zerguine, Azzedine

AU - Deriche, Mohamed

PY - 2004

Y1 - 2004

N2 - In this work, a new algorithm based on minimum-disturbance principle with relaxation is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm is demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.

AB - In this work, a new algorithm based on minimum-disturbance principle with relaxation is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm is demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.

UR - https://www.scopus.com/pages/publications/4644351197

M3 - Conference article

AN - SCOPUS:4644351197

SN - 1520-6149

VL - 2

SP - II853-II856

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

Soft constraint satisfaction multimodulus blind equalization algorithms

Abstract

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