Xinjie Ju, Hang Zhu, Xiaojun Zou, Ming Tan, Wei Song
{"title":"A full parameter estimation method of LFM pulse signal","authors":"Xinjie Ju, Hang Zhu, Xiaojun Zou, Ming Tan, Wei Song","doi":"10.1117/12.2682434","DOIUrl":null,"url":null,"abstract":"To solve the reconnaissance problem of Linear Frequency Modulation (LFM) pulse signal, this paper proposes an estimation method for the full set of parameters of frequency modulation slope, initial frequency, pulse repetition period, duty cycle, and pulse width. Firstly, the Fractional Fourier Transform (FRFT) is used to estimate the frequency modulation slope and the initial frequency of the signal. Secondly, the method of periodic accumulation is used to improve the signal-to-noise ratio, and a specific threshold value is set to estimate the duty cycle. Finally, the parameters of pulse repetition period and pulse width are estimated by autocorrelation function method. The simulation results show that the method can accurately detect the relevant parameters of LFM pulse signal.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Electronic Information Engineering and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2682434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To solve the reconnaissance problem of Linear Frequency Modulation (LFM) pulse signal, this paper proposes an estimation method for the full set of parameters of frequency modulation slope, initial frequency, pulse repetition period, duty cycle, and pulse width. Firstly, the Fractional Fourier Transform (FRFT) is used to estimate the frequency modulation slope and the initial frequency of the signal. Secondly, the method of periodic accumulation is used to improve the signal-to-noise ratio, and a specific threshold value is set to estimate the duty cycle. Finally, the parameters of pulse repetition period and pulse width are estimated by autocorrelation function method. The simulation results show that the method can accurately detect the relevant parameters of LFM pulse signal.