基于交叉定位的声纳浮标阵被动检测预处理研究  

Research on passive detection pre-processing of sonobuoy arrays based on cross localization

作　　者：王学敏 李文海 张翔宇 WANG Xuemin;LI Wenhai;ZHANG Xiangyu(Naval Aviation University,Yantai 264001,China;North University of China,Taiyuan 030023,China)

机构地区：[1]海军航空大学,山东烟台264001 [2]中北大学,太原030023

出　　处：《兵器装备工程学报》2023年第5期192-199,共8页Journal of Ordnance Equipment Engineering

摘　　要：交叉定位的精度直接决定着水下目标被动方法的检测性能,而目标数量的不确定性及其位置关系的复杂性将进一步影响交叉定位的精度。针对上述问题,提出了一种基于最小交叉定位方差的距离和方位数据互联算法。首先,分析了水下目标2种典型运动特点,分别构建了水下目标运动模型;其次,研究了声纳浮标阵型和交叉定位原理对定位精度的影响,构建了声纳浮标被动检测模型;最后,采用距离和方位数据关联方法,完成了水下目标被动检测前的预处理。仿真结果表明:在多目标航迹交叉、复杂噪声环境条件下,该算法整体性能优于典型的模糊聚类法和最近邻域法。The accuracy of cross localization directly determines the detection performance of passive methods for underwater targets,and the uncertainty of the number of targets and the complexity of their positional relationships will further affect the accuracy of cross localization.Aiming at the above problems,this paper proposes a distance and azimuth data interconnection algorithm based on minimum cross positioning variance.Firstly,two typical motion characteristics of underwater targets are analyzed,and motion models of underwater targets are constructed respectively.Secondly,the influence of the sonobuoy array and the principle of cross localization on the positioning accuracy is studied,and a passive detection model of the sonobuoy is constructed.Finally,the pre-processing before passive detection of underwater targets is completed by using the method of distance and azimuth data association.The simulation results show that the overall performance of the algorithm is better than that of the typical fuzzy clustering method and the nearest neighbor method under the conditions of multi-target track intersection and complex noise environment.

关 键 词：声纳浮标 最小方差 交叉定位 数据关联 量测预处理 

分 类 号：TB566[交通运输工程—水声工程]