Multi-rank processing for passive ranging in underwater acoustic environments subject to spatial coherence loss

Document Type

Conference Proceeding

Publication Date

8-18-2011

Abstract

In this work we derive the maximum likelihood estimator for passive wavefront curvature ranging systems operating in environments subject to a spatial coherence loss. As a consequence of the spatial coherence loss, the optimum processor is no longer a rank-1 matched filter and now instead involves a multi-rank weighted combination of the data based on the coherence matrix eigenvectors and eigenvalues. We also establish an interesting connection of our proposed multi-rank processor to the conventional rank-1 processor, and to the non-coherence sub-array processor, under different operating conditions. A comparative study is carried out in evaluating the performance of the proposed processors. © 2011 IEEE.

Identifier

80051645957 (Scopus)

ISBN

[9781457705397]

Publication Title

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

External Full Text Location

https://doi.org/10.1109/ICASSP.2011.5947040

ISSN

15206149

First Page

2692

Last Page

2695

This document is currently not available here.

Share

COinS