Jiadong Liang, Tianxian Zhang, Yichuan Yang, G. Cui, L. Kong, Xiaobo Yang, Jianyu Yang
{"title":"多监视区域情况下MIMO雷达的优先最优天线布局","authors":"Jiadong Liang, Tianxian Zhang, Yichuan Yang, G. Cui, L. Kong, Xiaobo Yang, Jianyu Yang","doi":"10.1109/RADAR.2016.8059151","DOIUrl":null,"url":null,"abstract":"In this paper, a preferential optimization problem of antenna placement for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple surveillance regions, the radar performances of preferential regions need to be improved and more choices of placement schemes for desired performance need to be provided. Therefore, we use the Particle Swarm Optimiztion (PSO) with reference point to solve the antenna placement problems. By setting reference points, the performance values of preferential surveillance regions will converge to reference points and reach our requirement. Then, we analyse the performance of proposed algorithm. Finally, numerical results are provided to verify the validity of the proposed algorithm.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Preferential optimal antenna placement for MIMO radar under the situation of multiple surveillance regions\",\"authors\":\"Jiadong Liang, Tianxian Zhang, Yichuan Yang, G. Cui, L. Kong, Xiaobo Yang, Jianyu Yang\",\"doi\":\"10.1109/RADAR.2016.8059151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a preferential optimization problem of antenna placement for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple surveillance regions, the radar performances of preferential regions need to be improved and more choices of placement schemes for desired performance need to be provided. Therefore, we use the Particle Swarm Optimiztion (PSO) with reference point to solve the antenna placement problems. By setting reference points, the performance values of preferential surveillance regions will converge to reference points and reach our requirement. Then, we analyse the performance of proposed algorithm. Finally, numerical results are provided to verify the validity of the proposed algorithm.\",\"PeriodicalId\":245387,\"journal\":{\"name\":\"2016 CIE International Conference on Radar (RADAR)\",\"volume\":\"186 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 CIE International Conference on Radar (RADAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.8059151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preferential optimal antenna placement for MIMO radar under the situation of multiple surveillance regions
In this paper, a preferential optimization problem of antenna placement for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple surveillance regions, the radar performances of preferential regions need to be improved and more choices of placement schemes for desired performance need to be provided. Therefore, we use the Particle Swarm Optimiztion (PSO) with reference point to solve the antenna placement problems. By setting reference points, the performance values of preferential surveillance regions will converge to reference points and reach our requirement. Then, we analyse the performance of proposed algorithm. Finally, numerical results are provided to verify the validity of the proposed algorithm.