Research on Problems of Motion Compensationin Chirp-scaling Algorithm
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摘要: 由于避免了插值计算,在大前视角和大范围成像时,chirp-scaling算法(CSA)的性能优于距离-多普勒算法(RDA).自聚焦算法在SAR成像处理中通常是必不可少的,但是现有的自聚焦算法几乎都是与RDA相结合的.本文提出了能够将自聚焦算法与CSA相结合的方法,使得CSA更具有实用性.本文同时也提出了将基于运动传感器的运动补偿和基于雷达数据的自聚焦算法与CSA结合的方法.该方法非常适合于高分辨率机载SAR成像处理.Abstract: The chirp-scaling algorithm(CSA) performs better than the range-Doppler algorithm(RDA) under deep squint angle and large imaging scene by avoiding interpolation. For SAR image formation process, autofocus algorithm is usually necessary, but most current autofocus algorithms are based on RDA. This paper presents an approach to combine the autofocus algorithm with CSA which will be more practical. This paper also suggests a method to combine motion compensation based on moving sensor and autofocus algorithm based on radar data with CSA. This method is very suitable for high resolution airborne SAR.
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Key words:
- information processing /
- synthetic aperture radar /
- self-focusing /
- motion compensation
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