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
Recommended Citation
Ge, Hongya and Kirsteins, Ivars P., "Multi-rank processing for passive ranging in underwater acoustic environments subject to spatial coherence loss" (2011). Faculty Publications. 11220.
https://digitalcommons.njit.edu/fac_pubs/11220