一种气泡背景下目标检测算法  

An Algorithm of Target Detection in Bubbly Water

作　　者：吴双[1] 杨长生[1] 梁红[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《鱼雷技术》2015年第4期276-279,共4页Torpedo Technology

基　　金：国家自然科学基金(61201322);(61379007);中央高校基本科研业务费专项资金(3102015ZY015)

摘　　要：研究发现,海豚在气泡背景下检测目标的能力优于人工声呐。基于海豚在搜索目标时发射的信号都是脉冲串的形式,且有些信号的相邻2个脉冲相位相反。文中采用Keller-Miksis方程的气泡模型,使用相位相反的仿海豚喀啦脉冲对,利用双反脉冲声呐(TWIPS)研究了其在气泡背景下探测目标的有效性,并将其与标准声呐处理进行对比。仿真结果表明,对于文中采用的气泡云分布,利用TWIPS探测线性目标时其性能优于标准声呐处理的性能。It is quite difficult to detect targets using man-made sonar due to the existance of bubbles, while researches indicate that dolphins outperform man-made sonar in detecting targets in bubbly water. The signals emitted by dolphins are in the form of pulse sequences, and some of two adjacent pulses are of inverted phase. In this study, the bubble model of Keller-Miksis equation and the twin inverted pulse sonar（TWIPS） are used to investigate the effectiveness of target detection of the dolphin-like clicking sound pulse pair with inverted phase in bubbly water. Furthermore, the perfor- mances are compared between TWIPS and standard sonar. Simulation results show that for the detection of linear target, TWIPS behaves better than the standard sonar in given bubble cloud distribution.

关 键 词：气泡 目标检测 Keller—Miksis方程 双反脉冲声呐 

分 类 号：TJ630.34[兵器科学与技术—武器系统与运用工程] TB56[交通运输工程—水声工程]