{"title":"利用RELAX实现彩色噪声下的角度和波形估计","authors":"Jian Li, P. Stoica, Dumin Zheng","doi":"10.1109/ACSSC.1995.540586","DOIUrl":null,"url":null,"abstract":"This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm is both conceptually and computationally simple; its implementation mainly requires a sequence of fast Fourier transforms. Both numerical and experimental examples are used to demonstrate the performance of the RELAX algorithm for angle and waveform estimation.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Angle and waveform estimation in the presence of colored noise via RELAX\",\"authors\":\"Jian Li, P. Stoica, Dumin Zheng\",\"doi\":\"10.1109/ACSSC.1995.540586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm is both conceptually and computationally simple; its implementation mainly requires a sequence of fast Fourier transforms. Both numerical and experimental examples are used to demonstrate the performance of the RELAX algorithm for angle and waveform estimation.\",\"PeriodicalId\":171264,\"journal\":{\"name\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1995.540586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1995.540586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Angle and waveform estimation in the presence of colored noise via RELAX
This paper describes how the RELAX algorithm can be used for angle and waveform estimation of narrowband plane waves arriving at a uniform linear array in the presence of spatially colored noise. The RELAX algorithm is both conceptually and computationally simple; its implementation mainly requires a sequence of fast Fourier transforms. Both numerical and experimental examples are used to demonstrate the performance of the RELAX algorithm for angle and waveform estimation.