被动声呐多阵测向交叉定位的数据关联算法  被引量:6

Data Association Algorithm for Bearing-Crossing Localization of Multiple Passive Sonars

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作  者:俞剑[1] 王益乐[1] YU Jian;WANG Yile(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区:[1]中国电子科技集团公司第二十八研究所,南京210007

出  处:《指挥信息系统与技术》2018年第3期65-69,共5页Command Information System and Technology

基  金:装备预研电科联合基金(6141B0806060202)资助项目

摘  要:针对测向交叉定位数据关联算法正确关联率与实时性不足问题,提出了一种被动声呐多阵测向交叉定位数据关联的新算法。首先,构造了检验统计量,同时给出了门限确定方法,生成方位数据粗关联判据;然后,介绍了分层粗关联处理方法,对粗关联后的不确定关联集合再进行细关联处理,得到方位数据的关联结果;最后,针对声呐阵测向数据虚警和漏检情况提出了处理方法。仿真结果表明,该算法关联判据明确且易于实现,可较快速、准确地进行方位数据关联,从而实现对多个水声目标的定位。Aimed at the deficiency problem about the correct association rate and the real time capability of the data association algorithms for bearing-crossing localization,a new data association algorithm for bearing-crossing localization of the multiple passive sonars is proposed.Firstly,a statistic is constructed and its threshold confirming method is given.A rough association criterion of the bearing data is generated.Then,a layered rough association method is presented.After the rough association,the uncertain association sets are processed with a refined association method.Thus,the association result of the bearing data is obtained.Finally,aimed at the situation of the false alarm and leak in detection of the sonar array bearing data,aprocess method is proposed.Simulation results show that the algorithm has definite and easy-realized association criterion.With the algorithm,the bearing data can be rapidly and precisely associated.Thus,the localization of multiple underwater acoustic targets is realized..

关 键 词:被动声呐 测向交叉定位 数据关联 关联判据 

分 类 号:TN953[电子电信—信号与信息处理]

 

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