{"title":"基于序贯凸优化的多普勒多站雷达","authors":"J. Hodkin, V. Chandrasekar","doi":"10.1109/RADAR42522.2020.9114826","DOIUrl":null,"url":null,"abstract":"Localization via Doppler-only multistatic radar is addressed by the application of sequential convex programming. The optimization approach as well as the radar modality are described. Two case studies for a single receiver and multiple transmitters are shown. The localization error for this approach and a well known nonlinear optimization method are compared. We show that the sequential convex programming method described can perform well with low signal-to-noise ratios.","PeriodicalId":125006,"journal":{"name":"2020 IEEE International Radar Conference (RADAR)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Doppler-Only Multistatic Radar via Sequential Convex Optimization\",\"authors\":\"J. Hodkin, V. Chandrasekar\",\"doi\":\"10.1109/RADAR42522.2020.9114826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization via Doppler-only multistatic radar is addressed by the application of sequential convex programming. The optimization approach as well as the radar modality are described. Two case studies for a single receiver and multiple transmitters are shown. The localization error for this approach and a well known nonlinear optimization method are compared. We show that the sequential convex programming method described can perform well with low signal-to-noise ratios.\",\"PeriodicalId\":125006,\"journal\":{\"name\":\"2020 IEEE International Radar Conference (RADAR)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Radar Conference (RADAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR42522.2020.9114826\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Radar Conference (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR42522.2020.9114826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Doppler-Only Multistatic Radar via Sequential Convex Optimization
Localization via Doppler-only multistatic radar is addressed by the application of sequential convex programming. The optimization approach as well as the radar modality are described. Two case studies for a single receiver and multiple transmitters are shown. The localization error for this approach and a well known nonlinear optimization method are compared. We show that the sequential convex programming method described can perform well with low signal-to-noise ratios.