{"title":"第五代新无线电DMRS跟踪模式同步研究","authors":"M. Assaf, O. G. Ponomarev","doi":"10.1109/dspa53304.2022.9790773","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the issue of tracking mode synchronization in 5G new radio based on demodulation reference signal (DMRS) as recommended by the 3rd generation partnership project (3GPP) standards. Separately performing cross-correlation of DMRS symbols for different time positions is conducted to reduce the computational complexity and estimate the value of sampling frequency offset (SFO). To achieve high accuracy, subsample offset estimation is performed based on parabolic interpolation. Performance is evaluated through computer simulations and the results show a rapid convergence of SFO estimator to the actual values and low root mean square error (RMSE) curves for different channel models. The effect of time domain SFO compensation on the performance of maximum likelihood (ML) carrier frequency offset (CFO) estimator is also evaluated in terms of the mean-squared error (MSE) as a function of signal to noise ratio (SNR).","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"48 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On DMRS Tracking Mode Synchronization in Fifth Generation New Radio\",\"authors\":\"M. Assaf, O. G. Ponomarev\",\"doi\":\"10.1109/dspa53304.2022.9790773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the issue of tracking mode synchronization in 5G new radio based on demodulation reference signal (DMRS) as recommended by the 3rd generation partnership project (3GPP) standards. Separately performing cross-correlation of DMRS symbols for different time positions is conducted to reduce the computational complexity and estimate the value of sampling frequency offset (SFO). To achieve high accuracy, subsample offset estimation is performed based on parabolic interpolation. Performance is evaluated through computer simulations and the results show a rapid convergence of SFO estimator to the actual values and low root mean square error (RMSE) curves for different channel models. The effect of time domain SFO compensation on the performance of maximum likelihood (ML) carrier frequency offset (CFO) estimator is also evaluated in terms of the mean-squared error (MSE) as a function of signal to noise ratio (SNR).\",\"PeriodicalId\":428492,\"journal\":{\"name\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"48 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dspa53304.2022.9790773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On DMRS Tracking Mode Synchronization in Fifth Generation New Radio
In this paper, we investigate the issue of tracking mode synchronization in 5G new radio based on demodulation reference signal (DMRS) as recommended by the 3rd generation partnership project (3GPP) standards. Separately performing cross-correlation of DMRS symbols for different time positions is conducted to reduce the computational complexity and estimate the value of sampling frequency offset (SFO). To achieve high accuracy, subsample offset estimation is performed based on parabolic interpolation. Performance is evaluated through computer simulations and the results show a rapid convergence of SFO estimator to the actual values and low root mean square error (RMSE) curves for different channel models. The effect of time domain SFO compensation on the performance of maximum likelihood (ML) carrier frequency offset (CFO) estimator is also evaluated in terms of the mean-squared error (MSE) as a function of signal to noise ratio (SNR).