{"title":"雷达网络服务质量资源管理","authors":"R. Nadjiasngar, A. Charlish","doi":"10.1109/RADARCONF.2015.7411905","DOIUrl":null,"url":null,"abstract":"The resource management problem for a network of radars is formulated in this paper as a quality of service constrained optimisation problem. Conditions for the optimal solution to the problem are derived from the Karush-Kuhn-Tucker (KKT) conditions. An algorithm is presented that extends the single radar Q-RAM algorithm by satisfying the KKT conditions for the radar network case. The algorithm is demonstrated on a target tracking control problem, where it is shown that the proposed multiple sensor Q-RAM (MSQRAM) method enables an increased number of targets to be tracked with a better estimation error in comparison to locally optimised radar nodes.","PeriodicalId":267194,"journal":{"name":"2015 IEEE Radar Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Quality of service resource management for a radar network\",\"authors\":\"R. Nadjiasngar, A. Charlish\",\"doi\":\"10.1109/RADARCONF.2015.7411905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The resource management problem for a network of radars is formulated in this paper as a quality of service constrained optimisation problem. Conditions for the optimal solution to the problem are derived from the Karush-Kuhn-Tucker (KKT) conditions. An algorithm is presented that extends the single radar Q-RAM algorithm by satisfying the KKT conditions for the radar network case. The algorithm is demonstrated on a target tracking control problem, where it is shown that the proposed multiple sensor Q-RAM (MSQRAM) method enables an increased number of targets to be tracked with a better estimation error in comparison to locally optimised radar nodes.\",\"PeriodicalId\":267194,\"journal\":{\"name\":\"2015 IEEE Radar Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADARCONF.2015.7411905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADARCONF.2015.7411905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality of service resource management for a radar network
The resource management problem for a network of radars is formulated in this paper as a quality of service constrained optimisation problem. Conditions for the optimal solution to the problem are derived from the Karush-Kuhn-Tucker (KKT) conditions. An algorithm is presented that extends the single radar Q-RAM algorithm by satisfying the KKT conditions for the radar network case. The algorithm is demonstrated on a target tracking control problem, where it is shown that the proposed multiple sensor Q-RAM (MSQRAM) method enables an increased number of targets to be tracked with a better estimation error in comparison to locally optimised radar nodes.
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