A full parameter estimation method of LFM pulse signal

Xinjie Ju; Hang Zhu; Xiaojun Zou; Ming Tan; Wei Song

doi:10.1117/12.2682434

26 May 2023 A full parameter estimation method of LFM pulse signal

Xinjie Ju, Hang Zhu, Xiaojun Zou, Ming Tan, Wei Song

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127001I (2023) https://doi.org/10.1117/12.2682434
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

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.

Citation Download Citation

Xinjie Ju, Hang Zhu, Xiaojun Zou, Ming Tan, and Wei Song "A full parameter estimation method of LFM pulse signal", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127001I (26 May 2023); https://doi.org/10.1117/12.2682434

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