The existing sparse imaging observation error estimation methods are to usually estimate the error of each observation position by substituting the error parameters into the iterative reconstruction process, which has a huge calculation cost. In this paper, by analysing the relationship between imaging results of single-observation sampling data and error parameters, a SAR observation error estimation method based on maximum relative projection matching is proposed. First, the method estimates the precise position parameters of the reference position by the sparse reconstruction method of joint error parameters. Second, a relative error estimation model is constructed based on the maximum correlation of base-space projection. Finally, the accurate error parameters are estimated by the Broyden–Fletcher–Goldfarb–Shanno method. Simulation and measured data of microwave anechoic chambers show that, compared to the existing methods, the proposed method has higher estimation accuracy, lower noise sensitivity, and higher computational efficiency.

中文翻译：

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基于最大相对投影匹配的SAR观测误差估计

现有的稀疏成像观测误差估计方法通常是通过将误差参数代入迭代重建过程中来估计每个观测位置的误差，这具有巨大的计算成本。通过分析单次观测采样数据成像结果与误差参数之间的关系，提出了一种基于最大相对投影匹配的SAR观测误差估计方法。首先，该方法通过关节误差参数的稀疏重建方法来估计参考位置的精确位置参数。其次，基于基空间投影的最大相关性构造相对误差估计模型。最后，通过Broyden–Fletcher–Goldfarb–Shanno方法估计准确的误差参数。