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Adaptive ML signal detection in non-Gaussian channels

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3 Author(s)
Pham, D.S. ; CSP Group, Curtin Univ. of Technol., Perth, WA, Australia ; Zoubir, A. ; Brcich, R.

The problem of robust signal detection in non-Gaussian noise is revisited. In this paper, we look at some issues of robust estimators which have been discussed very little in previous works. Some robust estimators, which are adaptive in nature and asymptotically efficient, are introduced and some technical improvements are suggested. Performance of these robust estimators is given in a practical communication problem and their asymptotic properties are investigated when the parameter-to-observation ratio becomes large.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003

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