基于虚警函数的侧扫声纳水下目标实时检测方法

研究了侧扫声纳系统进行水下目标探测过程中目标信号的检测问题。通过分析海底回波信号的统计模型及其参数的估计,讨论了目标信号对统计模型拟合的影响规律,提出了侧扫声纳回波信号虚警函数和虚警率的概念,及其对Ping信号中目标信号的检测方法。算例结果表明,回波信号的三种分布模型中K分布拟合程度最优,在相同虚警率的条件下,基于K分布的虚警函数目标检测率最高。该法可为侧扫声纳回波信号中目标的实时报警提供技术支撑。

Real-time Detection of Underwater Target Using Side-scan Sonar Based on False Alarm Function

Underwater target signal detection in underwater target detecting survey using side-scan sonar is studied in the paper. Distribution models of the echo signal from sea-bottom and estimation of models＇ parameters are analyzed, and the influence of the target signal on the fitting of distribution models is studied. The concepts of false alarm function and false alarm rate in side-scan sonar signals are proposed in the paper, and a detecting method is raised for drawing the target signals from Ping signals. The experiment indicates that the fitting using K-distribution model is optimal among the three models, with the detecting rate based on false alarm function highest at the same false alarm rate. The method gives technical support for real-time alerts of the target in side- scan sonar signals.