HRRP Synthesizing and ISAR Imaging Method Based on Two Dimension Sparse Sampling

Sparse microwave imaging technique is very important in the field of the microwave imaging. On the basis of analysis of conventional high resolution range profile (HRRP) synthesizing and ISAR imaging theory with linear frequency modulation (LFM) signal, a new method of sparse processing based on Compressed Sensing (CS) is proposed in the paper. In the method, the high quality HRRP and ISAR image can be achieved by using the two dimension reconstruction with ISAR data after two dimension sparse sampling, on the condition of apparently reducing the sampling rate and pulse number. The sampling burden of digital signal processor and the captured probability of radar signal would be diminished by using the method. The feasibility and effectiveness of the method are verified and robustness of the method is examined via simulation results.