{"title":"Low-Complexity Blind I/Q Estimation and Compensation of Wideband Zero-IF Receivers","authors":"Laiwei Luo, Jun Wang, Jian Song, Cen Liu","doi":"10.1109/EExPolytech53083.2021.9614784","DOIUrl":null,"url":null,"abstract":"Frequency-dependent I/Q imbalance has become one of the most important factors affecting wireless communication systems in zero intermediate frequency (zero-IF) receivers, due to the communication bandwidth being wider. In this paper, a robust low-complexity blind estimation calibration scheme for I/Q imbalance is proposed. The imbalance estimation method makes use of the second-order statistics of the received signals, and a closed-form solution with linear complexity is given by reasonable approximation. The simulation results demonstrate the validity of the proposed scheme, which shows that the method can increase the image reject ratio (IRR) of the signals by more than 45dB, and the scheme is quite robust.","PeriodicalId":141827,"journal":{"name":"2021 International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electrical Engineering and Photonics (EExPolytech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EExPolytech53083.2021.9614784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Frequency-dependent I/Q imbalance has become one of the most important factors affecting wireless communication systems in zero intermediate frequency (zero-IF) receivers, due to the communication bandwidth being wider. In this paper, a robust low-complexity blind estimation calibration scheme for I/Q imbalance is proposed. The imbalance estimation method makes use of the second-order statistics of the received signals, and a closed-form solution with linear complexity is given by reasonable approximation. The simulation results demonstrate the validity of the proposed scheme, which shows that the method can increase the image reject ratio (IRR) of the signals by more than 45dB, and the scheme is quite robust.