A Fast and Accurate Method for Parameter Estimation of Multi-Component LFM Signals

被引：10
作者：
Moghadasian, Seyed Saman [1 ]
机构：
[1] Behbahan Khatam Alanbia Univ Technol, Dept Elect Engn, Behbahan 6361647189, Iran
来源：
IEEE SIGNAL PROCESSING LETTERS | 2022年 / 29卷
关键词：
Chirp; Fourier transforms; Maximum likelihood estimation; Frequency estimation; Time-frequency analysis; Signal processing algorithms; Kernel; Fractional auto-correlation; fractional Fourier transform; multi-component LFM signal; parameter estimation; FREQUENCY; TRANSFORM;
D O I：
10.1109/LSP.2022.3195118
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This letter presents a fast and accurate method for parameter estimation of multi-component linear frequency modulated (MC-LFM) signals. We first show that the auto-terms of signal in fractional auto-correlation (FrAc) domain are concentrated along lines passing through the origin with slopes equal to chirp rates. The connection between the FrAc and fractional Fourier transform (FrFT) is exploited to find the chirp rates. We then easily obtain central frequencies from the same FrFT coefficients which are used for the estimation of chirp rates. We finally propose our efficient algorithm to accelerate the precise estimate of the MC-LFM signal parameters. Simulation results validate performance of the approach.
引用
收藏
页码：1719 / 1723
页数：5
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