一种稀疏孔径下大尺寸目标的ISAR 成像方法

基金项目: null

ISAR Sparse Aperture Imaging Algorithm for Large Size Target

1.
(Key Laboratory of Spatial Information Processing and Application System Technology,
2.
Chinese Academy of Sciences, Beijing 100190, China)
3.
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)

Funds: null

摘要: 针对稀疏孔径下的大尺寸目标ISAR 成像，该文提出了一种新的成像方法，该方法在距离频域进行方位向压缩，避免了散射点越距离单元徙动的影响|引入压缩感知替代FFT 对稀疏孔径数据进行方位压缩，通过构造随距离频率变化的基空间，消除了距离频率和方位时间之间的耦合，同时降低了方位向的峰值旁瓣比，获得了清晰的目标图像。计算机仿真结果验证了该算法的有效性。
- 越距离单元徙动 /
- 峰值旁瓣比 /
- 压缩感知 /
- 稀疏孔径 /
- 逆合成孔径雷达
Abstract: A novel algorithm for larger size target imaging in sparse aperture is presented in this paper for Inverse Synthetic Aperture Radar (ISAR). In the proposed method, azimuth compressing is done in the range frequency domain to avoid Migration Through Range Cell (MTRC), and Compress Sensing (CS) is introduced to take place of FFT to reduce the Peak Side Lobe Ratio (PSLR), meanwhile a basis matrix changing with the range frequency is constructed to eliminate the coupling between range frequency and azimuth time. Simulation results validate the feasibility of the approach.
- Migration Through Range Cell (MTRC) /
- Peak Side Lobe Ratio (PSLR) /
- Compress Sensing (CS) /
- Sparse aperture /
- Inverse Synthetic Aperture Radar (ISAR)