{"title":"一种新的二维频率估计算法","authors":"Calyampudi R. Rao, L. Zhao, B. Zhou","doi":"10.1109/ACSSC.1993.342499","DOIUrl":null,"url":null,"abstract":"In this paper, an algorithm for 2-D frequency estimation is proposed. This algorithm consists of two parts. First, two sets of 1-D distinct frequencies are estimated separately. Then, the estimates of the 2-D frequencies are obtained by pairing the components in the two sets of estimated 1-D frequencies. The correct pairing is accomplished based on the fact that a vector in the signal subspace is orthogonal to the noise subspace of a 2-D signal. The capability of determining the number of signals is inherited in the proposed algorithm. Computer simulation results are provided to demonstrate the efficacy of the algorithm.<<ETX>>","PeriodicalId":266447,"journal":{"name":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A novel algorithm for 2-dimensional frequency estimation\",\"authors\":\"Calyampudi R. Rao, L. Zhao, B. Zhou\",\"doi\":\"10.1109/ACSSC.1993.342499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an algorithm for 2-D frequency estimation is proposed. This algorithm consists of two parts. First, two sets of 1-D distinct frequencies are estimated separately. Then, the estimates of the 2-D frequencies are obtained by pairing the components in the two sets of estimated 1-D frequencies. The correct pairing is accomplished based on the fact that a vector in the signal subspace is orthogonal to the noise subspace of a 2-D signal. The capability of determining the number of signals is inherited in the proposed algorithm. Computer simulation results are provided to demonstrate the efficacy of the algorithm.<<ETX>>\",\"PeriodicalId\":266447,\"journal\":{\"name\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1993.342499\",\"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 27th Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1993.342499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel algorithm for 2-dimensional frequency estimation
In this paper, an algorithm for 2-D frequency estimation is proposed. This algorithm consists of two parts. First, two sets of 1-D distinct frequencies are estimated separately. Then, the estimates of the 2-D frequencies are obtained by pairing the components in the two sets of estimated 1-D frequencies. The correct pairing is accomplished based on the fact that a vector in the signal subspace is orthogonal to the noise subspace of a 2-D signal. The capability of determining the number of signals is inherited in the proposed algorithm. Computer simulation results are provided to demonstrate the efficacy of the algorithm.<>
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
