Du Gang, Zhang Yongshun, W. Yongliang, Jiang Xinying
{"title":"A new method for joint estimation of three-dimensional parameters of coherent signals","authors":"Du Gang, Zhang Yongshun, W. Yongliang, Jiang Xinying","doi":"10.1109/ISPACS.2007.4445832","DOIUrl":null,"url":null,"abstract":"A new method is proposed to estimate the frequency and 2- D arrival angles of coherent signals over a wide frequency band, which is called time-space smoothing DOA algorithm (TSS-DOA). Firstly the time-space smoothing matrix is constructed by temporal data and spatial data of two uniform parallel linear arrays and smoothing technique, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors. The algorithm can precisely estimate 3-D parameters of coherent signals, and doesn't need the multidimensional spectrum peak search with smaller computational load and parameters paired automatically. In addition, it can still estimate correctly 3-D parameters of signals when signals have the same one or two dimensional parameters. Simulation results show that the proposed algorithm is effective.","PeriodicalId":220276,"journal":{"name":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Intelligent Signal Processing and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2007.4445832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new method is proposed to estimate the frequency and 2- D arrival angles of coherent signals over a wide frequency band, which is called time-space smoothing DOA algorithm (TSS-DOA). Firstly the time-space smoothing matrix is constructed by temporal data and spatial data of two uniform parallel linear arrays and smoothing technique, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors. The algorithm can precisely estimate 3-D parameters of coherent signals, and doesn't need the multidimensional spectrum peak search with smaller computational load and parameters paired automatically. In addition, it can still estimate correctly 3-D parameters of signals when signals have the same one or two dimensional parameters. Simulation results show that the proposed algorithm is effective.