2006•Dianzi Ke-ji Daxue xuebaoRequires access

Parameter Estimation of LFM Signal Using Fractional Autocorrelation and FrFT

Jianyu Yang

Abstract

In this paper, a fast method for parameters estimation of the multi-component linear frequency modulated (multi-LFM) signal is proposed. The proposed algorithm reduces two-dimensional searches, widely used in the time-frequency based method, FrFT and Chirp Fourier transform, into two one-dimensional searches. With utilizing the discrete FrFT along with Fast Fourier Transform (FFT) algorithm, the proposed method is a computationally fast alternative for LFM signal detection and parameters estimation. Analysis of the multi-LFM signal is performed using the Clean technique. Finally, computer simulations are provided to illustrate performances of the proposed algorithm.

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Available abstract

Key concepts: Fractional Fourier transform, Chirp, Autocorrelation, Algorithm, SIGNAL (programming language), Fast Fourier transform, Computer science, Spectral density estimation