{"title":"基于迭代算法的雷达成像","authors":"Qiangfu Zhao, Zhong Wang, Youan Ke","doi":"10.1109/RADAR.1990.201092","DOIUrl":null,"url":null,"abstract":"A discrete model for radar imaging is developed, and, based on this model, the maximum entropy algorithm is adapted to radar imaging. Although such iterative algorithms are usually time-consuming, it is shown that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.<<ETX>>","PeriodicalId":441674,"journal":{"name":"IEEE International Conference on Radar","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radar imaging based on iterative algorithms\",\"authors\":\"Qiangfu Zhao, Zhong Wang, Youan Ke\",\"doi\":\"10.1109/RADAR.1990.201092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A discrete model for radar imaging is developed, and, based on this model, the maximum entropy algorithm is adapted to radar imaging. Although such iterative algorithms are usually time-consuming, it is shown that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.<<ETX>>\",\"PeriodicalId\":441674,\"journal\":{\"name\":\"IEEE International Conference on Radar\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Radar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.1990.201092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1990.201092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A discrete model for radar imaging is developed, and, based on this model, the maximum entropy algorithm is adapted to radar imaging. Although such iterative algorithms are usually time-consuming, it is shown that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.<>
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