一种基于被动声呐宽带空间谱的自动检测算法

An Automatic Detection Algorithm Based on Wideband Spatial Spectrum of Passive Sonar

被动声呐宽带目标检测中,基于固定门限的检测不能适应波动背景、对强弱目标共存场景检测时易检出旁瓣或漏检弱目标,此外检测结果中目标占据多个波束易使精确测向产生引导波束选取偏差。针对上述问题,基于宽带空间谱,将排序截断平均算法、局部峰值检测和波束内插算法结合,通过理论和蒙特卡洛实验分析对门限估计值有影响的参数,设计参数自动选取方案,形成检测门限自适应方法及自动检测与精确测向一体化方案。仿真与海试实验结果验证了所提算法的有效性,有较强工程应用价值。

In passive sonar boardband target detection,detection based on the fixed threshold cannot adapt to the fluctuating background,and it is easy to detect sidelobes or miss weak targets when detecting strong and weak targets coexisting in the scenario.In addition,the targets occupying multiple beams in the detection results can easily generate beam selection bias for accurate direction finding.To solve these problems,the broadband spatial spectrum is used as the test statistic,and the sorted truncation average algorithm,local peak detection and beam interpolation algorithm are combined.Through theoretical and Monte Carlo experiments,the parameters affecting the estimated threshold value are analyzed,and an automatic parameter selection scheme is designed.A detection threshold adaptive method and an integrated scheme of automatic detection and accurate direction finding are developed.The simulations and sea trials have verified the effectiveness of the proposed algorithm and have strong engineering application value.