R. S. Zakariyya, Jae-Neung Lee, M. U. F. Qaisar, Umar J. Mohammed, Qingfeng Zhang
{"title":"High Resolution DoA Estimation Using LWA for MIMO OFDM Millimeter-Wave Systems","authors":"R. S. Zakariyya, Jae-Neung Lee, M. U. F. Qaisar, Umar J. Mohammed, Qingfeng Zhang","doi":"10.1109/GPECOM58364.2023.10175692","DOIUrl":null,"url":null,"abstract":"In this work, a high resolution direction of arrival (DoA) estimation algorithm is proposed for multiple-input multiple-output (MIMO) hybrid millimeter wave (mmWave) systems by employing the base station (BS) with a received beam leaky-wave antenna (LWA). In this scheme, the LWA simultaneously scan its beam to estimate the DoA of each user independently at different scanning angles. The proposed algorithm employs a high-resolution multiple signal classification (MUSIC) algorithm by applying the LWA scanning features and SVD technique to generate the spectrum and derive the Cramer–Rao lower bounds (CRLB) to improve the robustness. We provide a software define radio (SDR) implementation of the proposed scheme. Finally, the simulation results ensures that the proposed DoA algorithm performs efficiently over other DoA with linear array antenna. In addition, the root mean square error (RMSE) shows good performance close approach to CLRB at a modrate signal-to-noise ratio (SNR).","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GPECOM58364.2023.10175692","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 work, a high resolution direction of arrival (DoA) estimation algorithm is proposed for multiple-input multiple-output (MIMO) hybrid millimeter wave (mmWave) systems by employing the base station (BS) with a received beam leaky-wave antenna (LWA). In this scheme, the LWA simultaneously scan its beam to estimate the DoA of each user independently at different scanning angles. The proposed algorithm employs a high-resolution multiple signal classification (MUSIC) algorithm by applying the LWA scanning features and SVD technique to generate the spectrum and derive the Cramer–Rao lower bounds (CRLB) to improve the robustness. We provide a software define radio (SDR) implementation of the proposed scheme. Finally, the simulation results ensures that the proposed DoA algorithm performs efficiently over other DoA with linear array antenna. In addition, the root mean square error (RMSE) shows good performance close approach to CLRB at a modrate signal-to-noise ratio (SNR).