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Robust Blind Second-Order Deconvolution
Ecole Sup ́ rieure d’Electricit ́, 91192 Gif-sur-Yvette, France..
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
1999 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, Vol. 6, no 1, 13-16 p.Article in journal (Refereed) Published
Abstract [en]

Second-order blind deconvolution of single input multiple output (SIMO) finite impulse response (FIR) channels is considered. A major drawback of several blind diversity techniques using antenna arrays/temporal-oversampling is high sensitivity to the choice of the model order. In this contribution, a robust method using only the second-order statistics is described. It provides high and robust estimation accuracy even for a limited sample size and an unknown model order. In contrast to other suggested approaches, that often exploit properties valid only in the large sample case, the proposed method is applicable both in the large sample and high signal-to-noise ratio (SNR) scenario.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 1999. Vol. 6, no 1, 13-16 p.
Keyword [en]
Antenna arrays, Blind equalizers, Covariance matrix, Deconvolution, Finite impulse response filter, Noise robustness, Signal processing algorithms, Signal to noise ratio, Statistics, Transfer functions
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-58931DOI: 10.1109/97.736239OAI: diva2:474414
NR 20140805Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2012-01-09Bibliographically approved

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