Open AccessParameter estimation of LFM signal based on STFT and RANSAC
Author(s) -
Xiaolei Fan,
Bing Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012102
Subject(s) - ransac , short time fourier transform , chirp , signal (programming language) , filter (signal processing) , computer science , fourier transform , artificial intelligence , algorithm , mathematics , computer vision , fourier analysis , physics , mathematical analysis , laser , optics , image (mathematics) , programming language
Aiming at parameter estimation of LFM signal in low SNR, a new method based on short time Fourier transform (STFT) and random sample consensus (RANSAC) is proposed in this paper. STFT is carried out to extract time-frequency curve firstly. Then median filter is used to eliminate glitches and disturbs. Finally, RANSAC process is applied to construct the model of the chirp line and obtain the parameters. In the proposal, the use of median filter and RANSAC iterations improve the adaptability to extremely low SNR. Simulation results confirmed the effectiveness of the proposed method.