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.
李家强; 金荣洪; 耿军平;范瑜; 毛炜. 基于高斯短时分数阶傅里叶变换的多分量LFM信号检测与参数估计[J]. 电子与信息学报, 2007, 29(3): 570-573 .
Li Jia-qiang; Jin Rong-hong; Geng Jun-ping; Fan Yu; Mao Wei. Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform. , 2007, 29(3): 570-573 .
2007, Vol. 29 
