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Robust adaptive matched field processing with sector eigenvector constraints
引用本文:YANG Kunde MA Yuanliang. Robust adaptive matched field processing with sector eigenvector constraints[J]. 声学学报:英文版, 2006, 25(3): 243-257
作者姓名:YANG Kunde MA Yuanliang
基金项目:This work was supported by the National Natural Science Foundation of China (10304015, 60472073) and the Foundation from State Key Laboratory of Acoustics.
摘    要:Standard adaptive beamforming or matched field processing requires accurate replica fields finely gridded over the search parameter space for localization with sidelobe control. This paper presents an Adaptive Matched Field Processing (AMFP) algorithm, which aims at gaining robustness for the environmental mismatch, and simultaneously reducing the real-time computational load. The new method integrates the merits of several AMFP beam-formers with neighboring location constraints, environmental perturbation constraints and sector focusing constraints. The robustness and effectiveness of the suggested algorithm has been illustrated through the numerical simulation and the experimental Mediterranean benchmark shallow-water data.

关 键 词:特征向量 约束 局限化 适应匹配场加工 AMFP
收稿时间:2005-07-18
修稿时间:2005-07-182005-10-19

Robust adaptive matched field processing with sector eigenvector constraints
YANG Kunde,MA Yuanliang. Robust adaptive matched field processing with sector eigenvector constraints[J]. Chinese Journal of Acoustics, 2006, 25(3): 243-257
Authors:YANG Kunde  MA Yuanliang
Abstract:
Keywords:
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