{"title":"Two-step MUSIC algorithm for improved array resolution","authors":"R. Chavanne, Karim Abed-Meraim, D. Medynski","doi":"10.1109/SSP.2001.955335","DOIUrl":null,"url":null,"abstract":"High resolution methods such as MUSIC fail to separate closely spaced sources in difficult contexts (low SNR, short sample size,...). Halder et al.(1997) have applied an interleaving technique to improve the resolution as well as the performances in the case of frequency estimation. Here we extend this work and deal with the application of this technique to array processing. We aim to estimate closely spaced DOAs. After a first estimation with MUSIC, a second step of the algorithm consists in refining the angle resolution using downsampled covariance matrices together with a joint estimation strategy (JES) similar to that proposed by Gershman et al. (1996). This method improves MUSIC performances especially for low SNRs. Simulations examples are provided to illustrate the performance of the proposed method referred to as two step-MUSIC (TS-MUSIC).","PeriodicalId":70952,"journal":{"name":"信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
High resolution methods such as MUSIC fail to separate closely spaced sources in difficult contexts (low SNR, short sample size,...). Halder et al.(1997) have applied an interleaving technique to improve the resolution as well as the performances in the case of frequency estimation. Here we extend this work and deal with the application of this technique to array processing. We aim to estimate closely spaced DOAs. After a first estimation with MUSIC, a second step of the algorithm consists in refining the angle resolution using downsampled covariance matrices together with a joint estimation strategy (JES) similar to that proposed by Gershman et al. (1996). This method improves MUSIC performances especially for low SNRs. Simulations examples are provided to illustrate the performance of the proposed method referred to as two step-MUSIC (TS-MUSIC).
期刊介绍：
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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