Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform
Li Jia-qiang①; Jin Rong-hong①; Geng Jun-ping①;Fan Yu②; Mao Wei①
①Dept. of Electronic Eng., Shanghai Jiaotong Univ., Shanghai 200030, China; ②Dept. of Physics and Electronic Science, Changshu Institute of Technology, Changshu 215500, China
Abstract Based on fractional wave packet transform, a new hybrid time-frequency transform: Gauss Short-time Fractional Fourier Transform (GSFrFT) is proposed for the detection and estimation of Linear Frequency-Modulated (LFM) signals. Multiple LFM signals can be detected in low SNR by choosing the rotated angle and cross-items can be avoided. Analytical expression of the transform result is given. The simulation results also show that the GSFrFT is valid.
Li Jia-qiang,Jin Rong-hong,Geng Jun-ping等. Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform[J]. , 2007, 29(3): 570-573 .
2007, Vol. 29 
