Underwater target detection based on fourth-order cumulant beamforming

Xiukun Li, Hongjian Jia, Mei Yang
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引用次数: 5

Abstract

Due to the complicated influences of the sea environment, how to obtain target echo data with high SRR (Signal-to-Reverberation Ratio) (SNR: Signal-to-Noise Ratio) is the key issue for improving the capacity of underwater targets detection. Based on the array signal processing, this paper presents a robust and highresolution fourth-order cumulant beamforming method based on the characteristics of array aperture expansion of fourth order cumulant, and DOA (Direction of Arrival) estimation of target is achieved by forming a narrow spatial beam. For a wideband acoustic system, the fourth-order cumulant beamforming method is extended to the DOA estimation of wideband LFM signals, combined with fractional Fourier transform (FRFT). Reverberation and noise are filtered out in the FRFT domain to further improve the SRR and SNR of the target echo. Simulation and data processing results of active sonar target detection verify the effectiveness of the research methods.
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基于四阶累积波束形成的水下目标检测
由于海洋环境的复杂影响,如何获得高信噪比(SNR)的目标回波数据是提高水下目标探测能力的关键。在阵列信号处理的基础上,利用阵列孔径扩展的四阶累积波束特性,提出了一种鲁棒、高分辨率的四阶累积波束形成方法,通过形成窄空间波束实现目标的到达方向估计。针对宽带声学系统,将四阶累积波束形成方法与分数阶傅立叶变换(FRFT)相结合,推广到宽带LFM信号的DOA估计中。在FRFT域中滤除混响和噪声,进一步提高目标回波的信噪比和信噪比。主动声纳目标探测仿真和数据处理结果验证了研究方法的有效性。
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