距离向DBF鄄SAR 自适应SCORE 处理研究

    A Study on Adaptive SCORE Processing for Range DBF-SAR

    • 摘要: 针对AD 数据的扫描接收法(SCORE)处理中权系数不易计算准确和加权处理过程复杂的问题,提出了基于AD 数据的自适应SCORE 处理算法,该算法既可直接利用同一波门的数据估计通道间的数字波束形成(DBF)权系数,也可先将多通道数据分组并时变加权,再自适应估计分组数据的DBF 权系数,多通道数据通过与权系数相乘和累加完成SCOR处理。相比其他算法,该算法具有权系数精度高、加权处理简单和运算量小的特点,适合长短脉冲DBF-SAR 的SCORE 处理,实测数据的成像结果验证了算法的有效性。

       

      Abstract: Considering the problems that digital beam-forming (DBF) weight coefficients are hard to be calculated precisely and the weighting operation is complex on scan-on-receive (SCORE) of analog-to-digital (AD) sample data, this paper proposed an adaptive algorithm on SCORE based on A/ D sample data. This algorithm can estimate DBF weight coefficients of multi-channels based on the data of the identical range bin, or firstly divide the multi-channels data into groups and time-variant weight them, then adaptively estimate the DBF weight coefficients of the grouped data, lastly multiply the multi-channels data by the estimated DBF weight coefficients and accumulate these data so as to complete SCORE process. Compared with other SCORE methods, the algorithm possesses merits of high-accuracy weight coefficients, weighting simple and light computation load, can be applied to the DBF-SAR system with long or short pulses, the effectiveness of the algorithm is confirmed by imaging results of the real echo data.

       

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