{"title":"分析了该算法在频域数据矩阵拟合估计方位角的性能","authors":"Xueyang Zhang, Jeong-min Seo, Joon-Ho Lee","doi":"10.1109/MAPE.2017.8250915","DOIUrl":null,"url":null,"abstract":"This paper shows the extension of Data matrix fitting-based Direction-of-Arrival (DOA) algorithm from the time domain to the frequency domain. We show that it is possible to implement Data matrix fitting-based DOA algorithm in the frequency domain and the estimation performance is superior to the DOA estimation algorithm in which no compressive sensing is applied to sinusoidal incident signals.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The performance of the algorithm for estimating the azimuth angle using data matrix fitting in the frequency domain\",\"authors\":\"Xueyang Zhang, Jeong-min Seo, Joon-Ho Lee\",\"doi\":\"10.1109/MAPE.2017.8250915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper shows the extension of Data matrix fitting-based Direction-of-Arrival (DOA) algorithm from the time domain to the frequency domain. We show that it is possible to implement Data matrix fitting-based DOA algorithm in the frequency domain and the estimation performance is superior to the DOA estimation algorithm in which no compressive sensing is applied to sinusoidal incident signals.\",\"PeriodicalId\":320947,\"journal\":{\"name\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MAPE.2017.8250915\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The performance of the algorithm for estimating the azimuth angle using data matrix fitting in the frequency domain
This paper shows the extension of Data matrix fitting-based Direction-of-Arrival (DOA) algorithm from the time domain to the frequency domain. We show that it is possible to implement Data matrix fitting-based DOA algorithm in the frequency domain and the estimation performance is superior to the DOA estimation algorithm in which no compressive sensing is applied to sinusoidal incident signals.