Liuyang Gao, Jianfeng Feng, Mingzhong Liu, Wenxiu Li
{"title":"MIMO雷达速度估计的资源分配算法","authors":"Liuyang Gao, Jianfeng Feng, Mingzhong Liu, Wenxiu Li","doi":"10.1109/ICNISC.2017.00012","DOIUrl":null,"url":null,"abstract":"We propose a resource allocation algorithm combining transmit power and signal effective time-width joint optimization to improve the multi-target tracking performance and to achieve better accuracy of velocity estimation under the condition of limited system resources for MIMO radar. An optimization mode is established with two optimal parameters: the transmit power and the effective time of the signal to minimize the CRLB and solve this nonconvex optimization model by the sequential parameter convex estimation (SPCA) algorithm. Simulation results show that the proposed algorithm can significantly improve the estimation accuracy of target velocity and the effect on the accuracy of target velocity estimation of signal effective time-width is more than that of the transmitted power.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resource Allocation Algorithm of Velocity Estimation for MIMO Radar\",\"authors\":\"Liuyang Gao, Jianfeng Feng, Mingzhong Liu, Wenxiu Li\",\"doi\":\"10.1109/ICNISC.2017.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a resource allocation algorithm combining transmit power and signal effective time-width joint optimization to improve the multi-target tracking performance and to achieve better accuracy of velocity estimation under the condition of limited system resources for MIMO radar. An optimization mode is established with two optimal parameters: the transmit power and the effective time of the signal to minimize the CRLB and solve this nonconvex optimization model by the sequential parameter convex estimation (SPCA) algorithm. Simulation results show that the proposed algorithm can significantly improve the estimation accuracy of target velocity and the effect on the accuracy of target velocity estimation of signal effective time-width is more than that of the transmitted power.\",\"PeriodicalId\":429511,\"journal\":{\"name\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC.2017.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource Allocation Algorithm of Velocity Estimation for MIMO Radar
We propose a resource allocation algorithm combining transmit power and signal effective time-width joint optimization to improve the multi-target tracking performance and to achieve better accuracy of velocity estimation under the condition of limited system resources for MIMO radar. An optimization mode is established with two optimal parameters: the transmit power and the effective time of the signal to minimize the CRLB and solve this nonconvex optimization model by the sequential parameter convex estimation (SPCA) algorithm. Simulation results show that the proposed algorithm can significantly improve the estimation accuracy of target velocity and the effect on the accuracy of target velocity estimation of signal effective time-width is more than that of the transmitted power.