一种基于卡尔曼滤波的多发多收SAR成像算法
doi: 10.3724/SP.J.1146.2010.00451
Multi-transmitter and Multi-receiver SAR Imaging Based on Kalman Filtering
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摘要: 该文提出了一种用于多发多收SAR的卡尔曼滤波的成像算法。该算法采用多发多收的方式获得更多的场景信息，通过降低脉冲重复频率(Pulse Repetition Frequency, PRF)获得非模糊的宽测绘带。多路发射信号采用正交编码的形式。通过卡尔曼滤波算法对场景实现了高分辨率重建。最小均方误差(Minimum Mean Square Error, MMSE)估计准则成功解决了传统成像算法中存在的多通道信号正交模糊的问题。理论分析了该算法的正确性，仿真试验验证了算法的有效性。Abstract: This paper proposes a multi-transmitter and multi-receiver SAR imaging algorithm based on Kalman filtering. In the algorithm, the application of multi-transmitter and multi-receiver offer more information about the scene and unambiguous wide swath is achieved by reducing PRF. Orthogonal coding is used in multi-transmitter channels. Kalman filtering perfectly reconstructs the scene with fine resolution and the principle of MMSE resolves the problem of ambiguity caused by orthogonal waveforms. The proposed imaging algorithm is justified by theoretic analyses and validated by digital simulations.
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