1. 中国科学院声学研究所,北京,100190
2. 中国电子科技集团第3研究所,北京,100015
3. 北京神州惠普科技股份有限公司,北京,100085
4. 中国科学院声学研究所,北京,100190
5. 中国电子科技集团第3研究所,北京,100015
6. 北京神州惠普科技股份有限公司,北京,100085
网络出版:2016-09-25,
纸质出版:2016
移动端阅览
郑恩明, 田甜, 陈新华, 等. 基于波束域相位稳定性的目标检测方法研究[J]. 电子学报, 2016,44(9):2033-2039.
ZHENG En-ming, TIAN Tian, CHEN Xin-hua, et al. Target Detection Method Based on the Stability of Beam Domain Phase[J]. Acta Electronica Sinica, 2016, 44(9): 2033-2039.
郑恩明, 田甜, 陈新华, 等. 基于波束域相位稳定性的目标检测方法研究[J]. 电子学报, 2016,44(9):2033-2039. DOI: 10.3969/j.issn.0372-2112.2016.09.001.
ZHENG En-ming, TIAN Tian, CHEN Xin-hua, et al. Target Detection Method Based on the Stability of Beam Domain Phase[J]. Acta Electronica Sinica, 2016, 44(9): 2033-2039. DOI: 10.3969/j.issn.0372-2112.2016.09.001.
低信噪比下,为解决常规波束形成等权值累加空间谱各方位谱值,导致目标方位谱值被非目标方位谱值淹没,不能实现对水下辐射噪声信号未知的目标检测问题,本文提出了一种基于波束域相位稳定性的目标检测方法.依据水下目标辐射噪声含有稳定线谱及空间谱各方位对应波束域相位稳定性差异,该方法利用波束域相位方差对各方位谱值进行加权统计,实现了对水下目标方位角的有效估计.数值仿真和实验结果表明:相比常规波束形成,该方法可以进一步增强目标方位能量,抑制非目标方位噪声干扰,改善目标检测信噪比增益.
In the conventional beam-forming (CBF) under low signal to noise ratio (SNR)
the spectrum values of each azimuth are accumulated by equal weight
and the spectrum values of targets are usually inundated in those of non-targets
so the underwater targets with unknown radiated noise can be hardly detected.In order to detect the effective target signal
a target detection method based on the beam domain phase stability is proposed.According to the feature that the underwater target radiates noise with stable line spectrum and the difference of the beam domain phase stability of each azimuth
this method cumulates spectrum values of each azimuth based on the beam domain phase variance by weighted statistical algorithm.Therefore
the azimuth of the underwater target is effectively estimated.The numerical simulation and experimental results both verify that
compared with the conventional beam-forming
this method can well enhance the energy of the target azimuth
restrain the background noise disturbances of non-target azimuth
and improve the SNR gain of the target detection.
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