A Two-dimensional Sparse SAR Imaging Method with Stepped Frequency Waveform
(0) Stepped-frequency waveforms (SFWs) can use the digital signal processing method to obtain high range resolution with relatively narrow instantaneous bandwidth, which have been used in synthetic aperture radar (SAR).However, SFWs have the disadvantages of the poor anti-jamming capability and a long time period to transmit.And in the coherent integration time, it is frequently to occur that some of echo data are missing.In this paper, a two-dimensional sparse imaging method in the space and frequency domains for SAR is proposed based on Compressed Sensing (CS) theory.A sparse SFW for SAR imaging is formed and analyzed, which has the advantages of the better anti-jamming capability and the shorter time period to transmit.The range compression can be achieved by using CS theory.As to the sparse echo data in the space domain, the imaging operator and the CS-based imaging scheme are constructed to implement the range cell migration correction and azimuth compression simultaneously.Compared with the traditional SAR imaging method of SFWs, much smaller number of frequencies and smaller amount of imaging data are required for SAR imaging by using the proposed method.Finally, the effectiveness of the proposed method is proved by the simulation and experimental results.
SAR imaging Sparse stepped-frequency waveform Imaging operator Compressed Sensing Two-dimensional sparse
Fufei Gu Qun Zhang Hao Lou Zhi”an Li Ying Luo
Air Force Engineering University, Xi”an, People”s Republic China, 710077 Air Force Engineering University, Xi”an, People”s Republic China, 710077;Fudan University, Key Labor
国内会议
广州
英文
632-652
2015-05-01（万方平台首次上网日期，不代表论文的发表时间）