Multi-station fusion sorting algorithm for radar Signals based on partial connection number trend

被引:0
|
作者
Liu, Lutao [1 ]
Li, Jinkai [1 ]
Li, Pin [2 ]
机构
[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin,150001, China
[2] Nanjing Research Institute of Electronic Technology, Nanjing,210000, China
关键词
Adaptive boosting - Clustering algorithms - Higher order statistics - Information fusion - Military radar - Prisms;
D O I
10.11887/j.cn.202406017
中图分类号
学科分类号
摘要
Aiming al the Situation lhat the existing sorting algorithms were more or less dependenl on prior information or dilfieult to adapl to multi-function radar, a multi-station fusion sorting algorithm based on sei pair potenlial 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 lime dilference parameter in the multi-station Cooperation mode. The aclual measurement data and Simulation results show lhaL the algoriLhm can adapl lo multi-funclional radar Systems such as search, acquisition and lracking,and realize ihe 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%. © 2024 National University of Defense Technology. All rights reserved.
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页码:159 / 165
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