提高被动声纳宽带检测性能的一种新方法

A novel efficient technique to improve performance of passive sonar broadband detection

宽带能量检测是被动声纳实现目标探测功能的常用方法,常规能量检测(Conventional Energy Detection,CED)方法在复杂环境下的检测性能迅速降低。子带峰值能量检测(Subband Peak Energy Detection,SPED)可以有效改善常规能量检测方法的性能,提高时间方位历程显示(BTR)的方位分辨力,但是波束宽度和旁瓣将影响SPED算法的性能。提出了一种将导向最小方差(Steered Minimum Variance,STMV)的宽带自适应波束形成与SPED结合的宽带检测新方法,通过海试数据的处理,表明这种基于STMV的SPED方法的性能优于基于常规波束形成(CBF)的SPED方法。

Broadband energy detection is a traditional method to detect acoustic signals in passive sonar.The perform-ance of conventional energy detection（CED） is becoming worse rapidly in real practical underwater acoustic environ-ment with multiple source signals.Subband peak energy detection（SPED） method can improve performance of CED and spatial resolution of bearing time recording（BTR） display.However,the performance advantage of SPED is affected by beamwidth and sidelobe level of beams.A novel broadband detection technique,which combines steered minimum variance（STMV） adaptive beamforming with SPED,is put forward.Through signal processing of acoustic data from real sea trial,the overall conclusion is that SPED based on STMV provides more increased performance than SPED based on conventional beamforming（CBF）.