Jingyue Huang, Hao Wei, Ping Li, Jie Li, Dongming Wang
{"title":"Decomposition Estimation for mmWave Channel Based on OMP with Rotation Operation","authors":"Jingyue Huang, Hao Wei, Ping Li, Jie Li, Dongming Wang","doi":"10.1109/WCSP.2019.8928123","DOIUrl":null,"url":null,"abstract":"This paper considers angle estimations for practical millimeter wave (mmWave) systems with hybrid analog/digital architecture. Firstly, we decompose the whole channel into two parts, which are associated with the transmitting side and the receiving side respectively. Through the discrete Fourier transform (DFT), the mmWave channel exhibits the sparsity in the angle domain. By utilizing the orthogonal matching pursuit (OMP) method together with the angle rotation operation, the corresponding directions of arrival (DoA) and directions of departure (DoD) of all paths can be estimated accurately. Simulation results show that our proposed algorithm can achieve the significant improvement of mean square error (MSE) performance, and require much less pilot overhead and lower calculation complexity.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"68 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 11th International Conference on Wireless Communications and Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2019.8928123","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
This paper considers angle estimations for practical millimeter wave (mmWave) systems with hybrid analog/digital architecture. Firstly, we decompose the whole channel into two parts, which are associated with the transmitting side and the receiving side respectively. Through the discrete Fourier transform (DFT), the mmWave channel exhibits the sparsity in the angle domain. By utilizing the orthogonal matching pursuit (OMP) method together with the angle rotation operation, the corresponding directions of arrival (DoA) and directions of departure (DoD) of all paths can be estimated accurately. Simulation results show that our proposed algorithm can achieve the significant improvement of mean square error (MSE) performance, and require much less pilot overhead and lower calculation complexity.