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IEICE TRANSACTIONS on Information

Cumulant-Based Adaptive Deconvolution for Multichannel Tracking

Mingyong ZHOU, Zhongkan LIU, Hiromitsu HAMA

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Summary :

A cumulant-based lattice algorithm for multichannel adaptive filtering is proposed in this paper. Proposed algorithm takes into account the advantages of higer-order statistics, that is, improvement of estimation accuracy, blindness to colored Gaussian noise and the possibility to estimate the nonminimum-phase system etc. Without invoking the Instrumental Variable () method as used in other papers [1], [2], the algorithm is derived directly from the recursive pseudo-inverse matrix. The behavior of the algorithm is illustrated by numerical examples.

Publication
IEICE TRANSACTIONS on Information Vol.E79-D No.3 pp.177-181
Publication Date
1996/03/25
Publicized
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DOI
Type of Manuscript
PAPER
Category
Algorithm and Computational Complexity

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