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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 |
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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.
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Received: 18 July 2005
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