大斜视SAR原始数据的快速模拟算法研究
doi: 10.3724/SP.J.1146.2010.00498
Fast Algorithms for SAR Raw Data Simulation with Large Squint Angles
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摘要: 该文针对小斜视和大斜视模式合成孔径雷达(SAR)提出了两种高效的原始数据模拟算法：变尺度傅里叶变换(SCFT)算法和沿距离向积分算法。基于SCFT的模拟算法将传统的基于2维快速傅里叶变换的2维频域算法推广到斜视模式，采用SCFT取代插值操作，提高了小斜视SAR原始数据模拟的计算效率和仿真精度。沿距离向积分算法适用于大斜视SAR原始数据模拟，保证了大斜视SAR原始数据的模拟精度并同时提高了计算效率。最后，通过仿真证明了这两种算法的有效性。Abstract: This paper presents two efficient algorithms for small squint and large squint mode Synthetic Aperture Radar (SAR) raw data simulation. One is based on SCaled Fourier Transform (SCFT) and the other is based on time-domain integration along range dimension. By SCFT the traditional frequency-domain algorithm with two-dimensional FFT is extended to small squint mode SAR. The algorithm employs SCFT to replace interpolation. The method improves both the computational efficiency and the simulation accuracy. Moreover, the proposed algorithm with time-domain integration along range dimension is applicable to large squint mode SAR. Compared with conventional time-domain technique, it is more efficient while still accurate. Simulation results demonstrate the validity of the two proposed algorithms.
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Key words:
- Synthetic Aperture Radar (SAR) /
- Radar imaging /
- Squint mode SAR /
- Raw signal simulation
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