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Improving robustness of passive source localization via convex optimization based mode filtering

Citation

Huang, L and Fan, S and Xu, W and Yang, TC, Improving robustness of passive source localization via convex optimization based mode filtering, Proceedings of OCEANS '16 MTS/IEEE Shanghai, 10-13 April 2016, Shanghai, China, pp. 2053-2057. ISBN 978-1-4673-9724-7 (2016) [Non Refereed Conference Paper]


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Official URL: https://ieeexplore.ieee.org/document/7485725/

DOI: doi:10.1109/OCEANSAP.2016.7485725

Abstract

Model-based passive source localization is known to be quite sensitive to model mismatch. In this paper, we present a new implementation based on matched-mode processing. Specifically we formulate mode filtering as a convex optimization problem, and ℓ1-regularized least squares is applied, which is robust in terms of the numerical implementation. Simulations with respective full-depth and partially-spanned apertures show that with sound speed mismatch in water column, the proposed method has a better or equal tolerance over traditional matched-field processing; with sound speed mismatch in sediment layer, combining with mode selection, where higher order modes strongly interacting with the bottom are removed, our approach has a slightly decreased bias. Overall the new method demonstrates improved robustness of passive source localization for the examples we studied.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:passive source localization, matched-mode processing, mode-filtering, convex optimization, environmental mismatch, robustness
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Control Systems, Robotics and Automation
Objective Division:Defence
Objective Group:Defence
Objective Field:National Security
UTAS Author:Fan, S (Dr Shuangshuang Fan)
ID Code:125989
Year Published:2016
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2018-05-17
Last Modified:2018-05-21
Downloads:0

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