模糊聚类的多雷达航迹关联算法  

Multiradar Track Association Algorithm Based on Fuzzy Clustering

作　　者：张良[1] 陶海军[2] 杨钒[2] 王惊晓 

机构地区：[1]陆军军官学院军用光电工程教研室,安徽合肥230051 [2]陆军军官学院研究生管理大队,安徽合肥230051 [3]陆军军官学院高等教育研究室,安徽合肥230051

出　　处：《现代防御技术》2017年第6期113-117,共5页Modern Defence Technology

基　　金：国防装备预研基金项目(9140A05020114JB91064)

摘　　要：为了解决传统滤波跟踪算法对多雷达航迹预测定位误差较大的实际问题,通过对基于关联矩阵的聚类算法进行分析,提出了基于模糊聚类多雷达、多目标航迹定位跟踪仿真模型提出改进的矩阵聚类算法,并且与传统滤波跟踪算法做对比分析。实验结果表明,所提算法的性能在时间和空间上有所提高。较之传统算法精度较高,运算效率亦有所提升。To solve the large error problem of multiradar tracking used for traditional Fourier filtering algorithm,cluster algorithm based on the method of multiradar and multitarget path tracking was analyzed and a new improved algorithm was proposed. Compared with the traditional Fourier filtering algorithm,experiment pointed out that the improved algorithm saved the time and space with higher performance.Compared with the arithmetic mean method,the algorithm can get a better result and high calculation efficiency.

关 键 词：目标航迹跟踪 模糊聚类关联 蒙特卡罗算法 检测门限 链路预算 归一化 

分 类 号：TN953[电子电信—信号与信息处理] TP391.9[电子电信—信息与通信工程]