Method for parameter estimation of LFM signal and its application. Issue 5 (1st July 2019)

• Record Type: Journal Article
• Authors: Guo, Yong; Yang, Lidong
• Is Part Of: IET signal processing. Volume 13:Issue 5(2019)
• Page Start: 538
• Page End: 543
• Publication Date: 2019-07-01
• Subjects: Fourier transforms -- parameter estimation -- signal processing -- frequency modulation; LFM signal -- linear frequency modulation signal -- nonstationary signal -- signal processing -- simplified linear -- evaporation‐rate‐based water cycle algorithm -- parameter estimation method; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2018.5435
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract : 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.