虚拟时间反转水声信号检测

针对目标辐射声信号特性未知的情况,在不增加额外水声换能器的条件下,研究提高水听器阵列对水声信号检测性能的方法。首先,按照经典二元检测问题处理方法分析了常规能量检测方法的性能,在此基础上,根据虚拟时间反转处理原理,对处理后的信号构建检测统计量,推导得到了虚拟时间反转检测方法的理论门限和检测性能的表达式,并通过与常规能量检测的对比分析了虚拟时间反转检测的处理增益。使用计算机仿真实验从声源频率、接收阵列阵元数、目标距离与深度等方面分析了两种方法的检测性能。结果表明,所提出的算法相对于常规能量检测算法在性能上有显著优势,且接收阵元数是对算法性能影响最为明显的因素。 

Underwater acoustic signal detection using virtual time reversal processing

A better underwater acoustic signal detection algorithm for hydrophone array is studied under the condition that the form of the target radiated signal is unknown and no extra acoustic transducer is available.The performance of the conventional energy detection algorithm is analyzed using the same method solving the classical binary detection problem.Then,according to virtual time reversal processing theory,novel signal detector is proposed based on the test statistics formed by the processed hydrophone array receiving signals.And the theoretical formulas of detection threshold and detection performance,as well as the Signal-to-Noise ratio(SNR) gain to conventional energy detection algorithm,are deduced for this proposed virtual time reversal signal detection algorithm.Computer simulations are carried out to analyze the capability of these two algorithms from four aspects,the frequency of the source,the number of hydrophone elements,the target distance and the target depth.Resultsshow that the proposed algorithm has remarkable advantage on detection performance over the conventional energy detection algorithm and the number of hydrophone elements is the most important factor which has a great impact on the performance of the proposed algorithm.