{"title":"基于双线性反方程的调制宽带变换器联合系统标定与信号恢复","authors":"Jingchao Zhang, Yuting Wang, Yinuo Su, Liyan Qiao","doi":"10.1109/ICEMI52946.2021.9679531","DOIUrl":null,"url":null,"abstract":"This paper considers the blind calibration and signal recovery of Modulated Wideband Converter system. The amplitude and phase errors of each channel are modeled as an unknown multiplicative diagonal matrix, and a blind calibration algorithm which only requires measurements of nonideal MWC has been proposed to solve this problem. Calibrating the system and reconstructing the support set can be accomplished simultaneously by solving a bilinear inverse equation. A neat conclusion of this result is that our method can significantly improve the recovery success rate, especially in the case of large non-ideal factors compared with the original system. Numerical simulations verify the effectiveness of our method.","PeriodicalId":289132,"journal":{"name":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Joint System Calibration and Signal Recovery Based on Bilinear Inverse Equation for Modulated Wideband Converter\",\"authors\":\"Jingchao Zhang, Yuting Wang, Yinuo Su, Liyan Qiao\",\"doi\":\"10.1109/ICEMI52946.2021.9679531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the blind calibration and signal recovery of Modulated Wideband Converter system. The amplitude and phase errors of each channel are modeled as an unknown multiplicative diagonal matrix, and a blind calibration algorithm which only requires measurements of nonideal MWC has been proposed to solve this problem. Calibrating the system and reconstructing the support set can be accomplished simultaneously by solving a bilinear inverse equation. A neat conclusion of this result is that our method can significantly improve the recovery success rate, especially in the case of large non-ideal factors compared with the original system. Numerical simulations verify the effectiveness of our method.\",\"PeriodicalId\":289132,\"journal\":{\"name\":\"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMI52946.2021.9679531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMI52946.2021.9679531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint System Calibration and Signal Recovery Based on Bilinear Inverse Equation for Modulated Wideband Converter
This paper considers the blind calibration and signal recovery of Modulated Wideband Converter system. The amplitude and phase errors of each channel are modeled as an unknown multiplicative diagonal matrix, and a blind calibration algorithm which only requires measurements of nonideal MWC has been proposed to solve this problem. Calibrating the system and reconstructing the support set can be accomplished simultaneously by solving a bilinear inverse equation. A neat conclusion of this result is that our method can significantly improve the recovery success rate, especially in the case of large non-ideal factors compared with the original system. Numerical simulations verify the effectiveness of our method.