基于压缩感知的矢量阵聚焦定位方法

发布时间：2018-03-25 10:21

本文选题：压缩感知　切入点：近场　出处：《物理学报》2016年02期

【摘要】：本文针对噪声源近场定位识别问题,利用声源分布在空间域具有稀疏性,在压缩感知理论框架下建立了新体系下的矢量阵聚焦波束形成方法,用于解决同频相干声源的定位识别问题.新方法可在小快拍下准确获得噪声源的空间位置,且不损失对噪声源贡献相对大小的评价能力.通过详细的理论推导、仿真分析和试验验证,证明了基于压缩感知的矢量阵聚焦定位新方法本质上实现了l1范数正则化求解下的波形恢复和空间谱估计,因此具有较高的定位精度,较强的相干声源分辨能力、准确的声源贡献相对大小评价能力以及较高的背景压制能力,可应用于水下复杂噪声源的定位识别.
[Abstract]:In this paper, aiming at the problem of near-field location identification of noise sources, a new focused beamforming method of vector array based on the theory of compression sensing is proposed, which is based on the sparse distribution of sound sources in spatial domain. The new method can accurately obtain the spatial position of the noise source under the small rapid-shot without losing the evaluation ability of the relative contribution to the noise source, and the new method is used to solve the problem of locating and identifying the coherent sound source with the same frequency. The simulation analysis and experimental results show that the new vector array focusing localization method based on compressed sensing achieves essentially waveform recovery and spatial spectrum estimation under the L 1 norm regularization solution, so it has a high localization accuracy. It can be applied to the localization and identification of underwater complex noise sources because of its strong resolution ability of coherent sound sources, accurate evaluation ability of relative size of acoustic sources and higher ability of background suppression.
【作者单位】：哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;
【基金】：长江学者和创新团队发展计划(批准号:IRT1228) 高等学校博士学科点专项科研基金(批准号:20122304120023;20122304120011) 国家自然科学基金青年基金(批准号:11204050;11204049)资助的课题~~
【分类号】：TB56

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