{"title":"基于粒子群算法的雷达网系统误差配准算法","authors":"Chenglong He, Xia Zhu","doi":"10.1109/ISCID.2012.15","DOIUrl":null,"url":null,"abstract":"System error registration is the chief issue for target tracking in radar network. in this paper, the theory for system error registration is analyzed, and optimizing function is proposed by the principle that the true position of different radar should be the same. then a heuristic technique based on a PSO (Particle Swarm Optimization) algorithm is imported to solve the optimizing function, each module in the algorithm is designed and illuminated. Finally simulation is presented to demonstrate the capability and effectiveness of the algorithm.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"31 7-8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"System Error Registration Algorithm for Radar Network Using PSO\",\"authors\":\"Chenglong He, Xia Zhu\",\"doi\":\"10.1109/ISCID.2012.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"System error registration is the chief issue for target tracking in radar network. in this paper, the theory for system error registration is analyzed, and optimizing function is proposed by the principle that the true position of different radar should be the same. then a heuristic technique based on a PSO (Particle Swarm Optimization) algorithm is imported to solve the optimizing function, each module in the algorithm is designed and illuminated. Finally simulation is presented to demonstrate the capability and effectiveness of the algorithm.\",\"PeriodicalId\":246432,\"journal\":{\"name\":\"2012 Fifth International Symposium on Computational Intelligence and Design\",\"volume\":\"31 7-8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2012.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2012.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System Error Registration Algorithm for Radar Network Using PSO
System error registration is the chief issue for target tracking in radar network. in this paper, the theory for system error registration is analyzed, and optimizing function is proposed by the principle that the true position of different radar should be the same. then a heuristic technique based on a PSO (Particle Swarm Optimization) algorithm is imported to solve the optimizing function, each module in the algorithm is designed and illuminated. Finally simulation is presented to demonstrate the capability and effectiveness of the algorithm.