Multi-channel frequency domain adaptive line spectrum enhancement technology based on line array

Yang Yu, Mingguang Li, Yufei Wang, Weijie Ning, Yi Zhang
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Abstract

For the issue of weak line spectrum target autonomous detection of unmanned platform in complex underwater environments, the multi-channel frequency domain adaptive line spectrum enhancement technology base on line array is proposed. This paper uses the relationship between coherence properties of line spectrum signals and the same delays of two adjacent array elements, and after averaging the cross-spectrum of two adjacent array elements, enhances the spectrum of the acquired signals. The Inverse Fourier Transform is taken as input signals of frequency domain adaptive filter, and to a certain extent, the SNR of the input signals is improved, and the processing gain is improved. The simulation result shows that when the input SNR is -21dB, the processing gain of this algorithm is 10.3dB higher than that of the STALE algorithm. The simulation and sea trial data indicate that the performance of this algorithm is greatly improved than that of STALE algorithm. Compared with the existing line spectrum target detection algorithm based on line spectrum characteristics, the algorithm in this Paper has lower requirements on SNR, and in complex situations such as the situations of multi-target and multi-line spectrum, etc., has better line spectrum target detection performance.
基于线阵列的多通道频域自适应线谱增强技术
针对复杂水下环境下无人平台弱线谱目标自主检测问题,提出了基于线阵列的多通道频域自适应线谱增强技术。本文利用线谱信号的相干性与相邻两阵元的相同时延之间的关系,对相邻两阵元的交叉频谱进行平均后,增强了采集信号的频谱。将傅里叶反变换作为频域自适应滤波器的输入信号,在一定程度上提高了输入信号的信噪比,提高了处理增益。仿真结果表明,当输入信噪比为-21dB时,该算法的处理增益比STALE算法高10.3dB。仿真和海试数据表明,该算法的性能比STALE算法有很大提高。与现有基于线谱特征的线谱目标检测算法相比,本文算法对信噪比的要求较低,并且在多目标、多线谱等复杂情况下具有更好的线谱目标检测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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