{"title":"基于相位的近程FMCW雷达频率估计","authors":"A. Kalmykov, M. Ronkin","doi":"10.1109/USBEREIT.2018.8384625","DOIUrl":null,"url":null,"abstract":"The paper deal with a problem of the effective frequency estimator of signals development, particularly, beat signals of FMCW radar systems. The described problem is actual in many short range radar applications such as the level or distance measurement. The proposed estimator is based on the approximation of the correlation function argument in time domain by the generalized least square method with the weighting that takes into account the influence of additive and multiplicative interferences in the case of high signal to noise (SNR) and signal to interferences (SIR) ratios. The obtained estimator has the properties that are near to the properties of the Maximum likelihood method and has much less computation complexity then traditionally used techniques, such as periodogram based estimators.","PeriodicalId":176222,"journal":{"name":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Phase based frequency estimator for short range FMCW radar systems\",\"authors\":\"A. Kalmykov, M. Ronkin\",\"doi\":\"10.1109/USBEREIT.2018.8384625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deal with a problem of the effective frequency estimator of signals development, particularly, beat signals of FMCW radar systems. The described problem is actual in many short range radar applications such as the level or distance measurement. The proposed estimator is based on the approximation of the correlation function argument in time domain by the generalized least square method with the weighting that takes into account the influence of additive and multiplicative interferences in the case of high signal to noise (SNR) and signal to interferences (SIR) ratios. The obtained estimator has the properties that are near to the properties of the Maximum likelihood method and has much less computation complexity then traditionally used techniques, such as periodogram based estimators.\",\"PeriodicalId\":176222,\"journal\":{\"name\":\"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USBEREIT.2018.8384625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USBEREIT.2018.8384625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase based frequency estimator for short range FMCW radar systems
The paper deal with a problem of the effective frequency estimator of signals development, particularly, beat signals of FMCW radar systems. The described problem is actual in many short range radar applications such as the level or distance measurement. The proposed estimator is based on the approximation of the correlation function argument in time domain by the generalized least square method with the weighting that takes into account the influence of additive and multiplicative interferences in the case of high signal to noise (SNR) and signal to interferences (SIR) ratios. The obtained estimator has the properties that are near to the properties of the Maximum likelihood method and has much less computation complexity then traditionally used techniques, such as periodogram based estimators.