A modified block FTF adaptive algorithm with applications to underwater target detection

Author

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

Author_Institution

Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

2

fYear

1996

fDate

12-15 May 1996

Firstpage

376

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, this new soft-constrained algorithm provides more efficient way of transferring information between blacks 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

Keywords

adaptive filters; filtering theory; least squares approximations; object detection; recursive filters; acoustic backscattered signal; block fast transversal filter; cost function; global optimality; modified BFTF; recursive least squares adaptive filtering; soft-constrained algorithm; tracking; underwater target detection; Acoustic testing; Adaptive algorithm; Adaptive filters; Cost function; Filtering algorithms; Least squares methods; Resonance light scattering; Target tracking; Transversal filters; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.541725

Filename

541725