Abstract

A receiver system and azimuth estimation method for non-cooperative underwater acoustic frequency hopping (FH) signal are proposed. Using single acoustic vector sensor as receiver, the time–frequency information and spatial information are combined by constructing space–time–frequency distribution matrix. Then the time–frequency ridge line is extracted by neural network, and the energy extracted from the time–frequency ridge line is integrated with time. Finally, the target azimuth is estimated based on the principle of complex acoustic intensity method. Simulation analysis and experimental results show that the proposed method can effectively estimate the azimuth of the non-cooperative underwater acoustic FH signal under the condition of low signal-to-noise ratio (SNR). The root mean square error of azimuth estimation is less than 1° under the condition SNR > –10 dB, which improves the azimuth estimation performance of the traditional complex acoustic intensity method.

中文翻译：

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基于单声矢量传感器的非合作水下声跳频信号接收系统及方位估计方法

摘要

提出了一种非合作水声跳频(FH)信号接收系统和方位角估计方法。以单个声矢量传感器作为接收器，通过构建时频分布矩阵将时频信息和空间信息结合起来。然后通过神经网络提取时频脊线，将时频脊线提取的能量与时间进行积分。最后，根据复声强法原理估计目标方位角。仿真分析和实验结果表明，该方法能够在低信噪比（SNR）条件下有效估计非合作水声跳频信号的方位角。