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PDF (Lu Huang, Shuangshuang Fan, Wen Xu, and T. C. Yang. “Improving robustness of passive source localization via convex optimization based mode filtering,” MTS/IEEE OCEANS'16 Shanghai, pp. 1-5, 2016.4) Not available 1Mb

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 Type:	Non Refereed Conference Paper
Keywords:	passive source localization, matched-mode processing, mode-filtering, convex optimization, environmental mismatch, robustness
Research Division:	Engineering
Research Group:	Control engineering, mechatronics and robotics
Research Field:	Field robotics
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
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