Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform
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

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.