{"title":"基于FrFT的FMCW雷达运动目标加速度实时估计方法","authors":"Qingbo Wang","doi":"10.5121/csit.2023.130515","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of real-time estimating the moving target acceleration in frequency modulated continuous wave (FMCW) radar. Based on the accelerated target FMCW radar echo signal model, after utilizing KeyStone transform to eliminate the ef ect of range migration on the signal parameters estimation. An improved fractional Fourier transform (FrFT) and optimized the best matching rotation angle search strategy is proposed to estimate the chirp rate of doppler dimension echosignal related to the target acceleration. Compared with the traditional FrFT, the approach in this paper has less computation and significantly reduced processing time while ensuring estimation accuracy. The proposed method is demonstrated with simulation and measurement data.","PeriodicalId":261978,"journal":{"name":"Computer Science, Engineering and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An FrFT Based Real-Time Estimation of Moving Target Acceleration Method for FMCW Radar\",\"authors\":\"Qingbo Wang\",\"doi\":\"10.5121/csit.2023.130515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the problem of real-time estimating the moving target acceleration in frequency modulated continuous wave (FMCW) radar. Based on the accelerated target FMCW radar echo signal model, after utilizing KeyStone transform to eliminate the ef ect of range migration on the signal parameters estimation. An improved fractional Fourier transform (FrFT) and optimized the best matching rotation angle search strategy is proposed to estimate the chirp rate of doppler dimension echosignal related to the target acceleration. Compared with the traditional FrFT, the approach in this paper has less computation and significantly reduced processing time while ensuring estimation accuracy. The proposed method is demonstrated with simulation and measurement data.\",\"PeriodicalId\":261978,\"journal\":{\"name\":\"Computer Science, Engineering and Applications\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Science, Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2023.130515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science, Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2023.130515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An FrFT Based Real-Time Estimation of Moving Target Acceleration Method for FMCW Radar
This paper considers the problem of real-time estimating the moving target acceleration in frequency modulated continuous wave (FMCW) radar. Based on the accelerated target FMCW radar echo signal model, after utilizing KeyStone transform to eliminate the ef ect of range migration on the signal parameters estimation. An improved fractional Fourier transform (FrFT) and optimized the best matching rotation angle search strategy is proposed to estimate the chirp rate of doppler dimension echosignal related to the target acceleration. Compared with the traditional FrFT, the approach in this paper has less computation and significantly reduced processing time while ensuring estimation accuracy. The proposed method is demonstrated with simulation and measurement data.