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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >An Improved Range Model and Omega-K-Based Imaging Algorithm for High-Squint SAR With Curved Trajectory and Constant Acceleration
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An Improved Range Model and Omega-K-Based Imaging Algorithm for High-Squint SAR With Curved Trajectory and Constant Acceleration

机译：具有斜轨迹和恒定加速度的高斜视SAR的改进距离模型和基于Omega-K的成像算法

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摘要

For high-squint synthetic aperture radar (SAR) with curved trajectory, the traditional hyperbolic range model (HRM) is inaccurate, and the variation of velocity caused by constant acceleration in azimuth dimension cannot be ignored. Thus, the traditional omega-K imaging algorithms based on HRM are no longer available. For this problem, this letter proposes an improved range model, which can precisely take account for the curved trajectory. Then, a modified omega-K algorithm based on this new range model is proposed for high-squint SAR imaging. Simulation results validate the effectiveness of the improved range model and imaging algorithm.
机译：对于具有弯曲轨迹的高斜视合成孔径雷达（SAR），传统的双曲线测距模型（HRM）是不准确的，并且由于方位角方向上恒定加速度而引起的速度变化不容忽视。因此，基于HRM的传统omega-K成像算法不再可用。针对这个问题，这封信提出了一种改进的距离模型，可以精确地考虑弯曲的轨迹。然后，提出了一种基于该新距离模型的改进的omega-K算法，用于高斜视SAR成像。仿真结果验证了改进的测距模型和成像算法的有效性。

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