Equalisation based on negentropy minimisation

Sooyong Choi; Te Won Lee

doi:10.1049/el:20030378

Equalisation based on negentropy minimisation

Sooyong Choi, Te Won Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

An equalisation method based on negentropy minimisation is introduced and its characteristics are investigated. Negentropy includes higher order statistical information and its error minimisation provides improved convergence and performance. The bit error ratio of the proposed method has similar characteristics to the adaptive minimum bit error rate (AMBER) equaliser. The main advantage of the proposed equaliser is that it needs drastically fewer training iterations than the AMBER and the MMSE equalisers.

Original language	English
Pages (from-to)	629-631
Number of pages	3
Journal	Electronics Letters
Volume	39
Issue number	7
DOIs	https://doi.org/10.1049/el:20030378
Publication status	Published - 2003 Apr 3

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1049/el:20030378

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title = "Equalisation based on negentropy minimisation",

abstract = "An equalisation method based on negentropy minimisation is introduced and its characteristics are investigated. Negentropy includes higher order statistical information and its error minimisation provides improved convergence and performance. The bit error ratio of the proposed method has similar characteristics to the adaptive minimum bit error rate (AMBER) equaliser. The main advantage of the proposed equaliser is that it needs drastically fewer training iterations than the AMBER and the MMSE equalisers.",

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AB - An equalisation method based on negentropy minimisation is introduced and its characteristics are investigated. Negentropy includes higher order statistical information and its error minimisation provides improved convergence and performance. The bit error ratio of the proposed method has similar characteristics to the adaptive minimum bit error rate (AMBER) equaliser. The main advantage of the proposed equaliser is that it needs drastically fewer training iterations than the AMBER and the MMSE equalisers.

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Equalisation based on negentropy minimisation

Abstract

All Science Journal Classification (ASJC) codes

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