{"title":"基于算子法的特征空间投影波束形成器性能分析","authors":"J. Mu, M. Gao, J. Bai","doi":"10.1109/CISP.2009.5303420","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach resulting in an expression for the probability density function (PDF) of the normalized conditioned signal-to-interference-plus-noise ratio for the eigen-space projection beamformer for antenna arrays of arbitrary geometry. The analysis method is based on the first order perturbation expansion of the projection operator. This technique takes advantage of the algebraic simplicity of the perturbation analysis of linear operators. The probability density is derived from the asymptotic properties of the sample covariance matrix estimated from finite samples. It is shown that, unlike the SMI beamformer, the probability density function depends on the interferenceplus-noise covariance matrix when the interference-to-noise ratio is not high enough. Computer simulation shows the correctness of the method.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of the Eigen-Space Projection Beamformer Based on Operator Approach\",\"authors\":\"J. Mu, M. Gao, J. Bai\",\"doi\":\"10.1109/CISP.2009.5303420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new approach resulting in an expression for the probability density function (PDF) of the normalized conditioned signal-to-interference-plus-noise ratio for the eigen-space projection beamformer for antenna arrays of arbitrary geometry. The analysis method is based on the first order perturbation expansion of the projection operator. This technique takes advantage of the algebraic simplicity of the perturbation analysis of linear operators. The probability density is derived from the asymptotic properties of the sample covariance matrix estimated from finite samples. It is shown that, unlike the SMI beamformer, the probability density function depends on the interferenceplus-noise covariance matrix when the interference-to-noise ratio is not high enough. Computer simulation shows the correctness of the method.\",\"PeriodicalId\":263281,\"journal\":{\"name\":\"2009 2nd International Congress on Image and Signal Processing\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Congress on Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP.2009.5303420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Congress on Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2009.5303420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis of the Eigen-Space Projection Beamformer Based on Operator Approach
In this paper, we propose a new approach resulting in an expression for the probability density function (PDF) of the normalized conditioned signal-to-interference-plus-noise ratio for the eigen-space projection beamformer for antenna arrays of arbitrary geometry. The analysis method is based on the first order perturbation expansion of the projection operator. This technique takes advantage of the algebraic simplicity of the perturbation analysis of linear operators. The probability density is derived from the asymptotic properties of the sample covariance matrix estimated from finite samples. It is shown that, unlike the SMI beamformer, the probability density function depends on the interferenceplus-noise covariance matrix when the interference-to-noise ratio is not high enough. Computer simulation shows the correctness of the method.