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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]
![]() | 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 |
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 |
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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 |
Downloads: | 0 |
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