A generalizedcalibration technique for model errors is proposed for uniform linear arrays. Being different from the existing calibration methods, this technique constructs covariance matrices for two adjacent sampling periods, from a reference source with a known location, and then estimates the model errors from the difference between these matrices and an equation formed by using the MUSIC null space. The proposed technique can not only calibrate different types of model errors (such as gain-phase errors, geometry errors and mutual coupling) in different impinging source scenarios, but also has great robustness to different types of background noise. Meanwhile, it is computationally efficient and does not require an accurate clock synchronization between the reference source and the array receiving system. However, it requires that the statistical properties of both signal and noise must be constant in the two adjacent sampling periods. Numerical examples validate the superior...

中文翻译：

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统一线性阵列的模型误差的通用化

针对均匀线性阵列，提出了一种模型误差的通用校正技术。与现有的校准方法不同，此技术从具有已知位置的参考源构造两个相邻采样周期的协方差矩阵，然后根据这些矩阵之间的差以及使用MUSIC空空间形成的方程来估计模型误差。所提出的技术不仅可以在不同的撞击源场景下校准不同类型的模型误差（例如，增益相位误差，几何误差和相互耦合），而且对不同类型的背景噪声具有很好的鲁棒性。同时，它计算效率高，并且不需要参考源和阵列接收系统之间的精确时钟同步。然而，它要求信号和噪声的统计特性在两个相邻的采样周期内必须保持恒定。数值算例验证了...