High Resolution Range Imaging Method for Frequency-coded Pulse Radar Based on Compressive Sensing

A novel Compressive Sensing (CS) based high resolution target range imaging method for Frequency- Coded Pulse Radar (FCPR) is proposed in this paper. Considering spatial sparsity of the target scene, a FCPR target sparse signal model is derived. A FCPR pulses coherent synthesis processing method is presented. Target frequency domain response is sampled with only a few FCPR sub-pulses, from which target high resolution range information is reconstructed exactly. A dynamic creation of deduced dimension sensing matrix based on target velocity pre-estimation using FFT is proposed. This method reduces the computational complexity of CS recovery algorithms and promotes the speed of CS based FCPR pulses coherent synthesis processing. Computer simulations show that the presented method performs better than traditional IFFT pulses coherent synthesis processing algorithm with smaller magnitude estimation error of strong target scattering center and better robustness against velocity estimation error and noise.