{"title":"使用基于共识的协调进行分布式多目标搜索和跟踪分配","authors":"Tracie A. Severson, D. Paley","doi":"10.1109/ICSENS.2013.6688500","DOIUrl":null,"url":null,"abstract":"This paper presents a distributed, consensus-based approach to optimize radar resource management for ballistic missile surveillance and tracking. Each radar determines their preferred radar-to-target assignment by balancing radar loading and minimizing total radar usage. A unique global radar-to-target assignment that is robust to resource estimation error is generated by a distributed consensus algorithm. Performance is validated via Monte Carlo simulations.","PeriodicalId":258260,"journal":{"name":"2013 IEEE SENSORS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Distributed multi-target search and track assignment using consensus-based coordination\",\"authors\":\"Tracie A. Severson, D. Paley\",\"doi\":\"10.1109/ICSENS.2013.6688500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a distributed, consensus-based approach to optimize radar resource management for ballistic missile surveillance and tracking. Each radar determines their preferred radar-to-target assignment by balancing radar loading and minimizing total radar usage. A unique global radar-to-target assignment that is robust to resource estimation error is generated by a distributed consensus algorithm. Performance is validated via Monte Carlo simulations.\",\"PeriodicalId\":258260,\"journal\":{\"name\":\"2013 IEEE SENSORS\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE SENSORS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENS.2013.6688500\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE SENSORS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENS.2013.6688500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed multi-target search and track assignment using consensus-based coordination
This paper presents a distributed, consensus-based approach to optimize radar resource management for ballistic missile surveillance and tracking. Each radar determines their preferred radar-to-target assignment by balancing radar loading and minimizing total radar usage. A unique global radar-to-target assignment that is robust to resource estimation error is generated by a distributed consensus algorithm. Performance is validated via Monte Carlo simulations.