The Parameter Estimation of Wideband LFM Signal Based on Down-chirp and Compressive Sensing

Wideband linear frequency modulated (LFM) signal is a kind of large time bandwidth product signal obtained by non phase modulation, the parameter estimation of wideband LFM signal requires a high sampling rate problem, combined with compressed sensing (CS) theory to estimate its parameters research, construct a measurement matrix that performs both compressed sampling and down-chirp method simultaneously, and improve it through a fast computing strategy.The simulation results show that the improved fast algorithm can accurately estimate the initial frequency and chirp rate of wideband LFM signal, and reduce the number of atoms in the dictionary, thus reducing the computation and reducing the time of parameter estimation.