{"title":"Maximum likelihood localization of sources in noise modeled as a Cauchy process","authors":"P. Tsakalides, C. Nikias","doi":"10.1109/MILCOM.1994.473897","DOIUrl":null,"url":null,"abstract":"A new robust beamformer, based on the Cauchy additive noise assumption, is introduced. The maximum likelihood approach is used for the bearing estimation of multiple sources from a set of snapshots when the interference is impulsive in nature. It is shown that the Cauchy receiver greatly outperforms the Gaussian receiver in a wide variety of non-Gaussian noise environments, and performs comparably to the Gaussian receiver when the additive noise is Gaussian. The Cramer-Rao bound on the estimation error variance is derived, and the robustness of the Cauchy beamformer in a wide range of impulsive interference environments is demonstrated via simulation experiments.<<ETX>>","PeriodicalId":337873,"journal":{"name":"Proceedings of MILCOM '94","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MILCOM '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1994.473897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A new robust beamformer, based on the Cauchy additive noise assumption, is introduced. The maximum likelihood approach is used for the bearing estimation of multiple sources from a set of snapshots when the interference is impulsive in nature. It is shown that the Cauchy receiver greatly outperforms the Gaussian receiver in a wide variety of non-Gaussian noise environments, and performs comparably to the Gaussian receiver when the additive noise is Gaussian. The Cramer-Rao bound on the estimation error variance is derived, and the robustness of the Cauchy beamformer in a wide range of impulsive interference environments is demonstrated via simulation experiments.<>