利用k近邻区间距离的异步抗差航迹关联算法  

Asynchronous anti-bias track association algorithm by using k-nearest neighbors interval distance

作　　者：衣晓 曾睿 曹昕莹 YI Xiao;ZENG Rui;CAO Xinying(School of Aviation Operations and Support, Naval Aviation University, Yantai 264001, China;Unit 92325 of the PLA, Datong 037001, China)

机构地区：[1]海军航空大学航空作战勤务学院,山东烟台264001 [2]中国人民解放军92325部队,山西大同037001

出　　处：《系统工程与电子技术》2022年第5期1475-1482,共8页Systems Engineering and Electronics

基　　金：国防科技卓越青年人才基金(2017-JCJQ-ZQ-003);泰山学者工程专项经费(ts201712072)资助课题。

摘　　要：针对异步和系统误差并存情况下的航迹关联问题,提出利用航迹序列k近邻区间距离的异步抗差航迹关联算法。定义区间序列与区间点的k近邻区间距离度量,提出系统误差区间化方法,通过不等长航迹区间序列间的灰色关联度,利用经典分配法进行航迹关联判定。与传统算法相比,对系统误差先验信息的要求低。仿真结果表明,算法能以较高正确率实现稳定关联,具有良好的抗差性。算法亦可处理异步不等速率航迹关联问题,无需时域配准,具有明显的优势。To solve the problem of track association under the asynchronous and system error,an asynchronous anti-bias track association algorithm based on k-nearest neighbors interval distance of the track sequence is proposed.The k-nearest neighbors interval distance measurement between interval sequence and interval points is defined,the method of the system error interval is put forward,the grey relational degree among the sequences of different track intervals are calculated,and the classical allocation method is used to determine the track-to-track association.Compared with the traditional algorithms,the requirement for prior information on system bias is lower.The simulation results show that the algorithm can achieve stable association with a high accuracy,and good anti-bias performance.The algorithm can also deal with the asynchronous unequal rate track association problem without time domain registration,which has obvious advantages.

关 键 词：航迹关联 抗差关联 k近邻区间距离 灰色关联度 区间化 

分 类 号：V243.2[航空宇航科学与技术—飞行器设计] TN957[电子电信—信号与信息处理]