{"title":"A Time Frequency Tensor Framework for DOA Estimation: Application to MIMO Systems","authors":"L. Hachad, F. Mrabti, H. Ghennioui, M. Zouak","doi":"10.1109/wincom47513.2019.8942512","DOIUrl":null,"url":null,"abstract":"In this paper, we show that the DOA estimation problem can be solved through a tensor representation of the non-unitary joint diagonalization of spatial quadratic timefrequency. We use an approach to select time-frequency points to construct the set of matrices forming a third-order tensor. Then, the determination of DOAs is solved by Parallel Factor analysis. The main advantage of this method is that it does not require any whitening stage, and thus, it is intended to work even with a class of correlated signals. Numerical simulations are provided in order to illustrate the effectiveness and behavior of the proposed approach.","PeriodicalId":222207,"journal":{"name":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Wireless Networks and Mobile Communications (WINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wincom47513.2019.8942512","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
In this paper, we show that the DOA estimation problem can be solved through a tensor representation of the non-unitary joint diagonalization of spatial quadratic timefrequency. We use an approach to select time-frequency points to construct the set of matrices forming a third-order tensor. Then, the determination of DOAs is solved by Parallel Factor analysis. The main advantage of this method is that it does not require any whitening stage, and thus, it is intended to work even with a class of correlated signals. Numerical simulations are provided in order to illustrate the effectiveness and behavior of the proposed approach.