Jiongyuan Zhou, Jin Wang, Yunchi Shi, Yu Tian, Jie Chen
{"title":"Optimal Design of Multiple Antennas Based on Maximum Rate and Antenna Selection Algorithm","authors":"Jiongyuan Zhou, Jin Wang, Yunchi Shi, Yu Tian, Jie Chen","doi":"10.1109/CISS57580.2022.9971393","DOIUrl":null,"url":null,"abstract":"Compared with conventional SAR, multi-antenna SAR has more system degrees of freedom, and has significant advantages in high-resolution wide swath imaging, moving target detection and interference suppression. In order to improve the analysis bandwidth of multi-antenna SAR system, a joint optimization algorithm of multi-antenna SAR system based on bandwidth maximization and antenna selection is proposed. The analytical bandwidth maximization model is built under the RS constraint, using the Rayleigh-Ritz theorem to find the optimal amplification factor after some relaxation. The amplification factor and the antenna selection sequence are processed by the method of separating two variables in turn, and the analytical solution is deduced according to the optimization theorem to find the optimal antenna selection sequence. The simulation results show that, compared with the traditional algorithm, the proposed algorithm can significantly improve the analysis bandwidth and bit error rate of the system in the multi-antenna SAR system.","PeriodicalId":331510,"journal":{"name":"2022 3rd China International SAR Symposium (CISS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd China International SAR Symposium (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS57580.2022.9971393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Compared with conventional SAR, multi-antenna SAR has more system degrees of freedom, and has significant advantages in high-resolution wide swath imaging, moving target detection and interference suppression. In order to improve the analysis bandwidth of multi-antenna SAR system, a joint optimization algorithm of multi-antenna SAR system based on bandwidth maximization and antenna selection is proposed. The analytical bandwidth maximization model is built under the RS constraint, using the Rayleigh-Ritz theorem to find the optimal amplification factor after some relaxation. The amplification factor and the antenna selection sequence are processed by the method of separating two variables in turn, and the analytical solution is deduced according to the optimization theorem to find the optimal antenna selection sequence. The simulation results show that, compared with the traditional algorithm, the proposed algorithm can significantly improve the analysis bandwidth and bit error rate of the system in the multi-antenna SAR system.