A polarimetric scheme is presented for the detection of a range-spread target when the presumed target steering matrix is deviated from the actual one. Following the adaptive beamformer orthogonal rejection test model, the decision statistic of the proposed detector involves the polarimetric clutter-plus-noise covariance matrix, the target component after noise whitening and rotation, as well as the sidelobe interference vectors of multiple range cells. In the practical realization of the detector, the polarimetric clutter-plus-noise covariance matrix is estimated by using the minimum mean-square-error regularized secondary data sample averaging. Taking into account the mismatch involved in the presumed target steering matrix, the target component is obtained by least square fitting subject to multiple separate conic uncertainty set constraints. The estimation of the sidelobe interference vectors is also based on the Bayesian statistics, and the involved polarimetric clutter-plus-noise covariance matrix is ultimately replaced by its Bayesian estimate previously obtained. The performance of the proposed detector has been evaluated and compared with the existing popular polarimetric detectors using both synthetic and real data. The results show that in the presence of target steering matrix mismatch caused by pointing errors, sensor position errors, channel calibration errors, multipath propagation, and random errors, the proposed detector has a superior performance to the current detectors in terms of the probability of detection.

中文翻译：

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针对目标导向矩阵失配的鲁棒极化自适应检测器

当假定的目标导向矩阵偏离实际目标时，提出了一种用于检测距离扩展目标的极化方案。遵循自适应波束形成器正交抑制测试模型，所提出的检测器的决策统计涉及极化杂波加噪声协方差矩阵、噪声白化和旋转后的目标分量以及多个距离单元的旁瓣干扰向量。在探测器的实际实现中，极化杂波加噪声协方差矩阵是通过使用最小均方误差正则化二次数据样本平均来估计的。考虑到假定的目标导向矩阵中涉及的失配，目标分量通过受多个单独圆锥不确定集约束的最小二乘拟合获得。旁瓣干扰向量的估计也是基于贝叶斯统计，所涉及的极化杂波加噪声协方差矩阵最终被其先前获得的贝叶斯估计所取代。已使用合成数据和真实数据对所提出的检测器的性能进行了评估并与现有流行的偏振检测器进行了比较。结果表明，在存在指向误差、传感器位置误差、信道校准误差、多径传播和随机误差引起的目标导向矩阵失配的情况下，所提出的检测器在检测概率方面优于现有检测器。 . 并且所涉及的极化杂波加噪声协方差矩阵最终被其先前获得的贝叶斯估计所取代。已使用合成数据和真实数据对所提出的检测器的性能进行了评估并与现有流行的偏振检测器进行了比较。结果表明，在存在指向误差、传感器位置误差、信道校准误差、多径传播和随机误差引起的目标导向矩阵失配的情况下，所提出的检测器在检测概率方面优于现有检测器。 . 并且所涉及的极化杂波加噪声协方差矩阵最终被其先前获得的贝叶斯估计所取代。已使用合成数据和真实数据对所提出的检测器的性能进行了评估并与现有流行的偏振检测器进行了比较。结果表明，在存在指向误差、传感器位置误差、信道校准误差、多径传播和随机误差引起的目标导向矩阵失配的情况下，所提出的检测器在检测概率方面优于现有检测器。 .