Channel Phase Error Estimation and Compensation for Ultra-high Resolution SAR Based on Echo Data
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摘要: 为提高SAR系统的距离分辨率,采用多通道合成的方法来提高信号带宽是当前采用的主要技术手段之一。针对多通道之间相位失配的问题,该文提出一种基于回波数据的通道相位误差估计与补偿方法。首先,建立通道相位误差的多项式模型,对通道内高阶误差进行估计和补偿;然后,在多通道合成的过程中对通道间残留的低阶误差再次进行估计和补偿。以压缩脉冲聚焦效果最优为目标,建立通道相位误差的最优化估计模型。该方法针对多通道合成的实际情况对误差估计与补偿的过程进行分解,并且数据处理中只需抽取少量回波数据作为样本,因而具有效率高、收敛速度快的优点。通过对八通道实际数据的处理和分析,验证了该方法的有效性。Abstract: For the purpose of improving range resolution of SAR system, one of the main technical approaches is to increase the signal bandwidth by means of multi-channel synthesis. Considering the issue of phase mismatch among multi-channels, channel phase error estimation and compensation method based on echo data is proposed in this paper. Firstly, the polynomial model for channel phase error is established and high-order inner-channel error is then estimated and compensated. Secondly, the residual low-order inter-channel phase error is then estimated and compensated in the procedure of multi-channel synthesis. Aiming to optimize the focus effect of compressed pulse, the optimization estimation model for channel phase error is established. According to the actual case of multi-channel synthesis, the method decomposes the procedure of error estimation and compensation and only a few echo data are required for the data process in addition, which results in the advantage of high efficiency and fast convergence speed. The effectiveness is validated by the process and analysis of real eight-channel raw data.
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