Method for parameter estimation of LFM signal and its application
Yong Xin Guo, Lidong Yang · IET Signal Processing · 2019
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.