Modified block FTF adaptive algorithm with applications to underwater target detection

M. A. Hasan, M. R. Azimi-Sadjadi, J. Wilbur, G. J. Dobeck

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper the problem of block recursive least squares (RLS) adaptive filtering is formulated in the context of block fast transversal filter (FTF) algorithm. A 'modified BFTF algorithm' is derived by modifying the constrained block-LS cost function to guarantee global optimality. In addition to all the benefits of the original block FTF [2], this new soft-constrained algorithm provides more efficient way of transferring information between blocks of data. The tracking ability of this algorithm can be controlled by varying the block length. The effectiveness of the new method is tested on a real-life problem dealing with underwater target identification from acoustic backscattered signal.

Original languageEnglish (US)
Pages (from-to)376-380
Number of pages5
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, USA
Duration: May 12 1996May 15 1996

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