偏联系数集对势的雷达信号多站融合分选算法
2024,46(6):159-165
摘要：
针对现有分选算法或多或少存在依赖先验信息或者难以适应多功能雷达的情况,提出基于偏联系数集对势的雷达信号多站融合分选算法。从数学领域的集对分析中引入偏联系数参数建立聚类模型,在此基础上通过多站协同方式,利用到达时间差参数对聚类结果进行决策级融合。经过实测数据及仿真验证,在无须任何先验信息的情况下,该算法可适应搜索捕获跟踪等多功能雷达体制,实现雷达脉冲信号的精确聚类与融合,在干扰脉冲比例不高于60%的情况下,分选正确率达97%以上。
针对现有分选算法或多或少存在依赖先验信息或者难以适应多功能雷达的情况,提出基于偏联系数集对势的雷达信号多站融合分选算法。从数学领域的集对分析中引入偏联系数参数建立聚类模型,在此基础上通过多站协同方式,利用到达时间差参数对聚类结果进行决策级融合。经过实测数据及仿真验证,在无须任何先验信息的情况下,该算法可适应搜索捕获跟踪等多功能雷达体制,实现雷达脉冲信号的精确聚类与融合,在干扰脉冲比例不高于60%的情况下,分选正确率达97%以上。
基金项目：
航空科学基金资助项目(201901012005)
航空科学基金资助项目(201901012005)
Multi-station fusion sorting algorithm for radar signals based on partial connection number trend
LIU Lutao
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
LI Jinkai
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
LI Pin
Nanjing Research Institute of Electronic Technology, Nanjing 210000, China
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
LI Jinkai
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
LI Pin
Nanjing Research Institute of Electronic Technology, Nanjing 210000, China
Abstract：
Aiming at the situation that the existing sorting algorithms were more or less dependent on prior information or difficult to adapt to multi-function radar, a multi-station fusion sorting algorithm based on set pair potential of partial coefficients was presented. The partial connection number parameter was introduced from the set pair analysis in the mathematical field to establish a clustering model. On this basis, the decision level fusion of clustering results was carried out by using the arrival time difference parameter in the multi-station cooperation mode. The actual measurement data and simulation results show that the algorithm can adapt to multi-functional radar systems such as search, acquisition and tracking,and realize the accurate clustering and fusion of radar pulse signals without any prior information. The sorting success rate is more than 97% in case of the jamming pulse ratio is lower than 60%.
Aiming at the situation that the existing sorting algorithms were more or less dependent on prior information or difficult to adapt to multi-function radar, a multi-station fusion sorting algorithm based on set pair potential of partial coefficients was presented. The partial connection number parameter was introduced from the set pair analysis in the mathematical field to establish a clustering model. On this basis, the decision level fusion of clustering results was carried out by using the arrival time difference parameter in the multi-station cooperation mode. The actual measurement data and simulation results show that the algorithm can adapt to multi-functional radar systems such as search, acquisition and tracking,and realize the accurate clustering and fusion of radar pulse signals without any prior information. The sorting success rate is more than 97% in case of the jamming pulse ratio is lower than 60%.
收稿日期：
2022-06-09
2022-06-09
