基于Hash编码的多目标航迹重合度算法研究  

Research into Multiple Target Track Coincidence Degree Algorithm Based on Hash Coding

作　　者：李高云 雷陈奕 李福林 张伟[1] 吴腾亚 LI Gaoyun;LEI Chenyi;LI Fulin;ZHANG Wei;WU Tengya(The 29th Research Institute of CETC,Chengdu 610036,China;Chongqing Institute of Engineering,Chongqing 400056,China)

机构地区：[1]中国电子科技集团公司第二十九研究所,四川成都610036 [2]重庆工程学院,四川重庆400056

出　　处：《舰船电子对抗》2024年第6期65-69,83,共6页Shipboard Electronic Countermeasure

基　　金：国家自然科学基金项目,项目编号:U20B2070。

摘　　要：未来战争是体系化的群体博弈,因而对多目标协同关系的挖掘成为了厘清战场的重要研究方向。剖析了传统空间航迹关系分析算法,以及其面临航迹点要求插值平滑、积分运算量大、点迹对齐困难等挑战。同时鉴于大数据时代,海量数据挖掘算法的复杂度直接关系到能否工程化应用,提出了基于Hash编码的多目标航迹重合度算法,仅需剖分编码和代数简便运算即可。在工程实践中检验了该算法的可行性和有效性,旨在为电磁大数据挖掘算法研究提供技术参考。The future war is a systematic group game,so the exploration of multi-target synergistic relationship has become an important research direction to clarify the battlefield.This paper analyzes the traditional space track relationship analysis algorithm,which faces the challenges such as smooth interpolation of track points,large amount of integration calculation and difficult alignment of track points.At the same time considering the era of big data,the complexity of massive data mining algorithm is directly related to whether it can be applied to engineering,and a multiple target track coincidence algorithm based on Hash coding is proposed,which only needs section coding and algebraic simple operation.The feasibility and effectiveness of the algorithm are tested in engineering practice.This paper aims to provide technical reference for the study of electromagnetic big data mining algorithm.

关 键 词：电磁大数据 Hash编码 重合度 航迹挖掘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]