基于ω - k算法的机载SAR运动补偿方法

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI:10.1109/IST.2012.6295560

Yan-lei Li, Xing-dong Liang, C. Ding, Liangjiang Zhou, Longyong Chen, Wen Hong

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引用次数: 7

摘要

ω - k算法一直被认为无法与高精度运动补偿(MoCo)相结合。提出了一种扩展的ω - k (EOK)算法，该算法可以集成两步MoCo。然而，由于改进的Stolt映射后方位信号的波长相关缩放，二阶MoCo不准确。虽然引入了第三步MoCo来弥补这一缺点，但它在处理高频运动误差方面受到限制，因为它是在时域中按块应用的。本文提出了一种与传统ω - k算法相结合的MoCo方法，在距离压缩后、Stolt映射前实现与孔径相关的二阶MoCo。理论分析和仿真验证了该方法的有效性。

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A motion compensation approach integrated in the omega-K algorithm for airborne SAR

The omega-K algorithm has been considered unable to be combined with high-precision motion compensation (MoCo). An extended omega-K (EOK) algorithm was proposed in which the two-step MoCo could be integrated. However, the second-order MoCo is inaccurate due to the wavelength-dependent scaling of the azimuth signal after the modified Stolt mapping. Although a third-step MoCo was introduced to make up for this drawback, it is limited in dealing with high-frequency motion errors because it is applied block-wise in the time domain. A MoCo approach is proposed in this paper integrated in the traditional omega-K algorithm, which implements the aperture-dependent second-order MoCo after the range compression and before the Stolt mapping. Theoretical analysis and simulation verifies its validity.

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2012 IEEE International Conference on Imaging Systems and Techniques Proceedings

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