{"title":"高频RCS估计","authors":"J. Koh","doi":"10.1109/ICARES.2019.8914548","DOIUrl":null,"url":null,"abstract":"Radar Cross Section (RCS) is one of the necessary factors for the design of communication system antenna and aircraft, where the scattering and reflection of electromagnetic waves plays a vital role. To measure RCS in electrically large objects such as aircraft and ships large amounts of resources are required. In this paper, we used the free function and TLS (Total Least Squares) theory to low-frequency RCS data and predicted high-frequency RCS data. In this approach, the result shows that the numerical verification of estimates lies within the tolerance limit.","PeriodicalId":376964,"journal":{"name":"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-Frequency RCS Estimation\",\"authors\":\"J. Koh\",\"doi\":\"10.1109/ICARES.2019.8914548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radar Cross Section (RCS) is one of the necessary factors for the design of communication system antenna and aircraft, where the scattering and reflection of electromagnetic waves plays a vital role. To measure RCS in electrically large objects such as aircraft and ships large amounts of resources are required. In this paper, we used the free function and TLS (Total Least Squares) theory to low-frequency RCS data and predicted high-frequency RCS data. In this approach, the result shows that the numerical verification of estimates lies within the tolerance limit.\",\"PeriodicalId\":376964,\"journal\":{\"name\":\"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARES.2019.8914548\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARES.2019.8914548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radar Cross Section (RCS) is one of the necessary factors for the design of communication system antenna and aircraft, where the scattering and reflection of electromagnetic waves plays a vital role. To measure RCS in electrically large objects such as aircraft and ships large amounts of resources are required. In this paper, we used the free function and TLS (Total Least Squares) theory to low-frequency RCS data and predicted high-frequency RCS data. In this approach, the result shows that the numerical verification of estimates lies within the tolerance limit.
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