基于BELLHOP模型的水中目标回波亮点特征建模与分析
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摘要
水中目标回波亮点的时空特性是主动声呐进行目标检测、跟踪与识别的主要依据,由于水声环境复杂多变,回波亮点结构受环境因素影响较大。建立了主动声呐目标回波的5亮点模型,并利用BELLHOP模型仿真复杂的水声传播环境。在浅海正声速梯度、浅海负声速梯度和深海声道3种信道条件下,提取并分析了不同舷角下目标回波亮点的时空特性。仿真结果表明,该模型反映了不同声传播环境下的目标回波亮点特征变化情况,可为主动声呐的目标检测与识别提供支撑。
The spatial-temporal characteristics of the underwater target echo highlights are the basis of target detecting, tracking and identifying for the active sonars. Due to the complex and changeable water acoustic environment, the echo highlight structure is affected by the environment factors. Five highlights model for the active sonar target echoes are established. The complex water acoustic environment is simulated with the BELLHOP model. Under the three conditions of shallow sea positive sound velocity gradient, shallow sea negative sound velocity gradient and deep sea channel, the spatial-temporal characteristics of the target echo highlights at different shipboard angles are extracted and analyzed. Simulation results show that the model can reflect the changes of target echo highlight features in different acoustic propagation environments, and provide the target detection and identification of active sonar.
The spatial-temporal characteristics of the underwater target echo highlights are the basis of target detecting, tracking and identifying for the active sonars. Due to the complex and changeable water acoustic environment, the echo highlight structure is affected by the environment factors. Five highlights model for the active sonar target echoes are established. The complex water acoustic environment is simulated with the BELLHOP model. Under the three conditions of shallow sea positive sound velocity gradient, shallow sea negative sound velocity gradient and deep sea channel, the spatial-temporal characteristics of the target echo highlights at different shipboard angles are extracted and analyzed. Simulation results show that the model can reflect the changes of target echo highlight features in different acoustic propagation environments, and provide the target detection and identification of active sonar.
引文
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[3]徐小虎,陈航,陈忠强.潜艇回波亮点模型的数字仿真[J].微处理机,2007(1):72-74.
[4]汤渭霖.声呐目标回波的亮点模型[J].声学学报,1994,19(2):92-99.
[5]董仲臣,李亚安,陈晓.一种基于亮点模型的潜艇回波仿真方法[J].计算机仿真,2013,30(6):38-41.
[6]陈晟,谢植广,余毅.一种潜艇回波简化亮点模型仿真[J].电声技术,2011,35(7):53-55.
[7]陈云飞,李桂娟,王振山,等.水中目标回波亮点统计特征研究[J].物理学报,2013,62(8):084302-1-084302-11.
[8]闫伟,黄建国,王新晓,等.水下目标多亮点回波仿真及应用研究[J].计算机仿真,2005,22(10):23-25.
[9]高天德,李志舜.水下目标亮点结构仿真技术[J].系统仿真学报,2000,12(2):130-133.
[10]朱利超,魏鹏举,高杰,等.基于亮点模型的水下目标近程回波仿真研究[J].舰船电子工程,2011,31(11):153-155.
[11]惠俊英,生雪莉.水下声信道[M].2版.北京:国防工业出版社,1992.
[12]崔化超,王益乐,俞剑.被动拖曳声呐模拟器关键技术[J].指挥信息系统与技术,2018,9(1):28-32.
[13]PORTER M B,BUCKER H P.Gaussian beam tracing for computing ocean acoustic fields[J].Journal of the A-coustical Society of America,1987,82(4):1349-1359.
[14]李孟,周荣艳.基于BELLHOP模型的水下信道仿真方法研究[J].舰船电子工程,2018,36(8):166-169.
[15]段乐峥.基于BELLHOP的水声信道时变模型[J].电子世界,2014(9):105-106.
[16]陈东升,胡建宇,许肖梅,等.台湾海峡中、北部海区1998年2~3月声速的分布特征[J].台湾海峡,2000,19(3):288-292.
[17]王永刚,孙大军,吴腾飞,等.水声变换域通信技术中的MMP-DCD稀疏信道估计方法[J].哈尔滨工程大学学报,2017,38(5):727-732.
[18]刘伯胜,雷家煜.水声学原理[M].2版.哈尔滨:哈尔滨工程大学出版社,2009.