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Underwater source localization with a generalized likelihood ratio processor

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2 Author(s)
Conn, R.M. ; Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA ; Tague, J.A.

The author describe a new matched-field acoustic source localization technique using reduced-rank signal processing. The problem is posed as a simultaneous detection and parameter estimation in which unknown, deterministic noise will act to obscure the source. They derive a reduced-rank likelihood ratio array processor and demonstrate its ability to detect and localize the signal of interest. The key advantage of this reduced-rank processor is its ability to remove the interference present while retaining the pertinent information necessary for detection and localization. This is accomplished using singular value decompositions of data matrices

Published in:

System Theory, 1994., Proceedings of the 26th Southeastern Symposium on

Date of Conference:

20-22 Mar 1994