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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Robust Polarimetric Adaptive Detector Against Target Steering Matrix Mismatch
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Robust Polarimetric Adaptive Detector Against Target Steering Matrix Mismatch

机译：鲁棒极化自适应检测器针对目标转向矩阵不匹配

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摘要

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.
机译：当假定的目标转向矩阵偏离实际矩阵时，提出了一种极化方案用于检测范围扩展目标。在自适应波束形成器正交抑制试验模型之后，所提出的检测器的决策统计涉及偏振杂波加噪声协方差矩阵，噪声美白和旋转之后的目标分量，以及多个范围电池的侧链干扰矢量。在检测器的实际实现中，通过使用最小均方误差正则化次级数据样本平均来估计偏振杂波和噪声协方差矩阵。考虑到推定目标转向矩阵中涉及的不匹配，目标分量通过对多个单独的圆锥不确定性集合约束来获得至少方形拟合来获得。 Sidelobe干扰矢量的估计也基于贝叶斯统计，并且所涉及的偏振杂波加噪声协方差矩阵最终由先前获得的贝叶斯估计所取代。已经评估了所提出的检测器的性能，并使用合成和实际数据与现有流行的偏振探测器进行比较。结果表明，在通过指向误差引起的目标转向矩阵错配，传感器位置误差，通道校准误差，多径传播和随机误差，所提出的检测器在检测概率方面对电流检测器具有卓越的性能。

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