Asymptotic results for passive wavefront curvature ranging using a large-scale distributed array system

Document Type

Conference Proceeding

Publication Date

10-23-2012

Abstract

In this work, we present some asymptotic results on the maximum likelihood multi-rank processor for passive wavefront curvature ranging systems using large-scale distributed arrays. We assume that the operation environment for the distributed arrays is subject to a spatial coherence loss. Under an exponential coherence model, analytical expressions for the multi-rank combiners are derived. The results provide a simple guideline for choosing inter-module spacing according to the spatial coherence length for formulating multi-rank mode filters and weights used in the combiner. The general framework and the numerical procedures of designing a multi-rank combiner can be applied to other coherence models. © 2012 IEEE.

Identifier

84867596161 (Scopus)

ISBN

[9781467300469]

Publication Title

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

External Full Text Location

https://doi.org/10.1109/ICASSP.2012.6288451

ISSN

15206149

First Page

2609

Last Page

2612

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