Detection and Parameter Estimation of LFM Signal Using Integration of Fractional Gaussian Window Transform

Jiaqiang LI  Ronghong JIN  JunPing GENG  Yu FAN  Wei MAO  

IEICE TRANSACTIONS on Communications   Vol.E90-B   No.3   pp.630-635
Publication Date: 2007/03/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e90-b.3.630
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Sensing
linear FM signal,  fractional Fourier transform,  signal-to-noise ratios,  parameter estimation,  

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In this paper, Integration of Fractional Gaussian Window transform (IFRGWT) is proposed for the parameter estimation of linear FM (LFM) signal; the proposal is based on the integration of the Fractional Fourier transform modified by Gaussian Window. The peak values can be detected by adjusting the standard deviation of Gaussian function and locating the optimal rotated angles. And also the parameters of the signal can be estimated well. As an application, detection and parameter estimation of multiple LFM signals are investigated in low signal-to-noise ratios (SNRs). The analytic results and simulations clearly demonstrate that the method is effective.