基于矢量相干积累的舰船特征线谱增强算法

摘要

In order to solve the problem of detective ships spectrum characteristics with sound pressure in strong noise background,we designed a vectorial coherent-integrator adaptive line-spectrum enhancer.The algorithm realized signal coherent accumulation by input sound pressure and velocity measurements to the two channel of adaptive line enhancement,thereby improving the SNR of the output signal.Analysis of simulation data under different SNR and measured ship radiated noise data showed that the vector coherent integrator-adaptive line enhancer on target radiated noise characteristic line spectrum was better than the traditional method in low SNR cases.%针对强噪声背景下仅用声压信号不能检测到舰船特征线谱的问题,提出了基于矢量相干积累的自适应线谱增强算法.该算法通过将矢量水听器测量的声压、振速分别输入自适应线谱增强器的两个通道,实现信号相干积累,从而提高输出信号的信噪比.通过不同谱级信噪比下仿真数据及实测数据的验证表明:该方法在低信噪比情况下对目标特征线谱的增强性能优于原声压自适应线谱增强算法.