盲源分离与波束形成融合抑制方向性强干扰研究

康春玉

doi:10.3724/SP.J.1004.2014.00983

盲源分离与波束形成融合抑制方向性强干扰研究

doi: 10.3724/SP.J.1004.2014.00983

康春玉

1.
海军大连舰艇学院信息作战系水声与水声对抗教研室大连 116018

基金项目:

声纳技术国家级重点实验室开放基金资助（KF201106）

详细信息

作者简介:
康春玉海军大连舰艇学院副教授. 主要研究方向为水声信号处理与信息融合. E-mail：dlkangcy@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2012-09-06
- 修回日期: 2012-12-05
- 刊出日期: 2014-05-20

Directional Interference Supression Based on Blind Source Separation with Beamforming

KANG Chun-Yu

1.
Department of Information Operations, DaLian Navy Academy, Dalian 116018

Funds:

Supported by Open Basic Research Program of Sonar Technology National Emphases Laboratory (KF201106)

摘要

摘要: 针对强干扰严重影响线列阵声纳弱目标检测的问题，融合盲源分离（Blind source separation，BSS）与波束形成提出了一种抑制方向性强干扰的方法.首先在干扰方位形成波束得到干扰信号估计，然后对阵列接收信号的每个子带采用盲源分离方法得到分离信号和解混矩阵估计，并通过对分离信号和干扰信号进行子带谱相关抑制干扰，再将抑制干扰后的分离信号重构回阵元域信号，最后采用波束形成方法完成目标方位估计.利用模拟器数据和海试数据对方法进行了验证，结果表明，该方法能有效地抑制方向性强干扰，明显提高了弱目标信号的空间谱能量，增强了声纳检测弱目标的能力.
- 盲源分离 /
- 波束形成 /
- 方位估计 /
- 谱相关 /
- 干扰
Abstract: Strong interference severely affects weak targets detection capability of the passive sonar. This paper proposes a method to cancel the directional strong interference based on blind source separation (BSS) and beamforming. The main steps proposes of the method are as follows. Firstly, it uses the steered beamforming technology to estimate the interference signals. Secondly, it uses the plural blind source separation algorithm to get the separated signals and demixing matrix from the frequency domain sub-band mixed signals transformed from the time domain received mixed signals. It uses frequency spectrum correlation to compare the separated signals and the interference signals, and the interference signals will be rejected in this step. It will also cluster the separated signals and reconstruct them back to the array domain. Finally, it uses beamforming to estimate the targets' bearings. Simulator and sea trial datasets are used to verify the proposed method, and the results show that the method can suppress the directional strong interference efficiently, which enhances the detection capability of the passive sonar for weak targets.
- Blind source separation (BSS) /
- beamforming /
- bearing estimation /
- spectrum correlation /
- interference

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参考文献(14)

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