Open AccessMethod for parameter estimation of LFM signal and its application
Author(s) -
Guo Yong,
Yang Lidong
Publication year - 2019
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2018.5435
Subject(s) - fractional fourier transform , signal (programming language) , algorithm , fourier transform , independence (probability theory) , estimation theory , signal processing , computer science , spectral density estimation , short time fourier transform , multidimensional signal processing , mathematics , statistics , digital signal processing , fourier analysis , mathematical analysis , computer hardware , programming language
A linear frequency modulation (LFM) signal is a typical non‐stationary signal, and its parameter estimation has always been among the core issues in the field of signal processing. In this study, a novel method for parameter estimation of LFM signal is proposed using the simplified linear canonical transform and evaporation‐rate‐based water cycle algorithm. According to the results obtained from the theoretical analysis and experimental simulation, the proposed method possesses the advantages of easy implementation, high precision and independence on initial values compared with the concise fractional Fourier transform (CFRFT)‐based and fractional Fourier transform‐based methods. Moreover, the proposed parameter estimation method is successfully applied to optical measurement with improving measurement accuracy.