Open AccessAn efficient and high-precision algorithm on parameters estimation of LFM signal
Author(s) -
Hang Ruan,
Zhang Shu-xian
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 - 10.1088/1742-6596/1544/1/012010
Subject(s) - algorithm , rotation (mathematics) , signal (programming language) , fourier transform , fractional fourier transform , interpolation (computer graphics) , computational complexity theory , computer science , fast fourier transform , mathematics , fourier analysis , computer vision , image (mathematics) , mathematical analysis , programming language
At present, prevalent algorithms on parameters estimation of linear frequency modulation (LFM) signal include the fractional Fourier transform (FrFT) method, of which the crucial procedure is to estimate the optimal rotation angle. The estimated value of the optimal rotation angle has a great influence on the estimation accuracy of LFM parameters, and it also affects the computational complexity of the algorithm. This paper proposes an algorithm on parameters estimation of LFM signal with high efficiency and precision. Based on the mathematical relationship between the optimal and any two rotation angles of FrFT, the optimal rotation angle is calculated through three FrFT transforms and interpolation, and the LFM signal parameters are estimated with high efficiency and precision. Simulation results verify the effectiveness of the proposed algorithm.