Sparse DOA Estimation in Heavy Ocean Reverberation in Fractional Fourier Domain

Yunchao Zhu, Kunde Yang, Feiyun Wu, Runze Xue, Xingyue Zhou, Chunlong Huang
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Abstract

This paper presents an improved localization approach in heavy sea bottom reverberation, in active detection. The mathematical model of fractional Fourier transform(FrFT) on underwater acoustic data is derived and thereby ocean reverberation suppression mechanism is achieved. And the approach of sparse target spatial spectral estimation in fractional Fourier(FrF) domain based on singular value decomposition(SVD) is proposed. An experiment was conducted in heavy sea bottom reverberation, and the results of direction of arrival(DOA) estimation fully demonstrate the improved localization performance in the presence of heavy sea bottom reverberation by proposed method.
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分数傅里叶域中重海洋混响的稀疏DOA估计
提出了一种改进的海底混响主动探测定位方法。推导了水声数据的分数傅里叶变换数学模型,从而获得了海洋混响抑制机理。提出了基于奇异值分解(SVD)的分数阶傅里叶域稀疏目标空间谱估计方法。在强烈的海底混响条件下进行了实验,到达方向(DOA)估计结果充分证明了该方法在强烈的海底混响条件下提高了定位性能。
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