基于频率步进信号的旋转式合成孔径雷达成像方法

基金项目:

国家重点基础研究发展计划(973 计划)(2011CB707001)，国家自然科学基金(61101243, 61101242)和长江学者和创新团队发展计划(IRT0954)资助课题

Imaging Algorithm for Rotor Synthetic Aperture Radar Using Stepped-frequency Waveform

(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)

摘要: 针对频率步进信号实现旋转式合成孔径雷达成像的难题，该文提出了脉冲间距离走动校正的旋转式合成孔径雷达成像方法。首先，推导了频率步进雷达旋转SAR 几何模型，然后提出了频率步进雷达脉冲间距离走动及其频域校正方法，接着采用-k 算法实现了场景的高分辨成像，最后对方位分辨性能进行了详细分析。计算机仿真结果验证了该方法的有效性以及高分辨性能。
- 旋转式合成孔径雷达 /
- 频率步进信号 /
- -k 算法
Abstract: For ROtor Synthetic Aperture Radar (ROSAR) using the stepped-frequency waveform, an imaging method based on Range Migration Correction (RMC) for ROSAR is proposed. First, the signal model of ROSAR using stepped-frequency waveform is derived; Second, the range migration correction in frequency domain is proposed; Third, the high-resolution images are achieved by using the -k algorithm; Finally, the azimuth resolution performance is analyzed. Simulation results demonstrate the effectiveness and high resolution performance of the proposed method.
- ROSAR /
- Stepped-frequency waveform /
- -k algorithm