{"title":"从欠采样信号中精确确定频率和到达角度","authors":"K.M. Pasala, R. Penno","doi":"10.1109/APS.1993.385254","DOIUrl":null,"url":null,"abstract":"The problem of determining the frequency and angle of arrival of an unknown signal that is undersampled when incident on a linear array is considered. A simple technique to deal with the ambiguities arising from undersampling is coupled with classic monopulse techniques to provide excellent accuracy, even in the presence of noise. Excellent results were obtained in a computer simulation. Sampling was done at 465.45 MHz and 568.88 MHz with a 512 point discrete Fourier transform.<<ETX>>","PeriodicalId":138141,"journal":{"name":"Proceedings of IEEE Antennas and Propagation Society International Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Accurate determination of frequency and angle of arrival from undersampled signals\",\"authors\":\"K.M. Pasala, R. Penno\",\"doi\":\"10.1109/APS.1993.385254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of determining the frequency and angle of arrival of an unknown signal that is undersampled when incident on a linear array is considered. A simple technique to deal with the ambiguities arising from undersampling is coupled with classic monopulse techniques to provide excellent accuracy, even in the presence of noise. Excellent results were obtained in a computer simulation. Sampling was done at 465.45 MHz and 568.88 MHz with a 512 point discrete Fourier transform.<<ETX>>\",\"PeriodicalId\":138141,\"journal\":{\"name\":\"Proceedings of IEEE Antennas and Propagation Society International Symposium\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Antennas and Propagation Society International Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APS.1993.385254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Antennas and Propagation Society International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.1993.385254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate determination of frequency and angle of arrival from undersampled signals
The problem of determining the frequency and angle of arrival of an unknown signal that is undersampled when incident on a linear array is considered. A simple technique to deal with the ambiguities arising from undersampling is coupled with classic monopulse techniques to provide excellent accuracy, even in the presence of noise. Excellent results were obtained in a computer simulation. Sampling was done at 465.45 MHz and 568.88 MHz with a 512 point discrete Fourier transform.<>
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