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DOA estimation with double L-shaped array based on Hadamard product and joint diagonalization in the presence of sensor gain-phase errors

机译:基于Hadamard产品的双L形阵列和在传感器增益相位误差存在下的双L形阵列进行DOA估计

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摘要

A method with double L-shaped array for direction-of-arrival (DOA) estimation in the presence of sensor gain-phase errors is presented. The reason for choosing double L-shaped array is that the shared elements between sub-arrays are the most and rotation invariant property can be applied for this array. The proposed method is introduced as follows. (1) If the number of signal is one, first the gain errors are estimated and removed with the diagonal of the covariance matrix of the array output. Then the array is rotated by an unknown angle and DOA can be estimated with the relationship between signal subspace and steering vector of signal. (2) If signals are more than one, the method for eliminating gain errors is the same with the previous case, and then the phase errors are removed by the Hadamard product of the (cross) covariance matrix and its conjugate. After the errors are eliminated, the DOAs can be estimated by rotation invariant property and orthogonal joint diagonalization for the Hadamard product. This method requires neither calibrated sources nor multidimensional parameter search, and its performance is independent of the phase errors. Simulation results demonstrate the effectiveness of the proposed method.
机译:提出了一种具有双L形阵列的用于在存在传感器增益误差的情况下的到达方向(DOA)估计的方法。选择双L形阵列的原因是,子阵列之间的共享元件最多,可以应用于该阵列的旋转不变性。所提出的方法如下介绍。 (1)如果信号的数量是1,则首先估计增益误差并将阵列输出的协方差矩阵的对角线移除。然后通过信号子空间与信号转向向量之间的关系估计阵列,可以估计DOA。 (2)如果信号是多于一个,则消除增益误差的方法与前一个情况相同,然后通过(横向)协方差矩阵及其共轭物的Hadamard产品去除相位误差。在消除错误之后,可以通过旋转不变性和Hadamard产品的正交关节对角估计DOA。该方法既不需要校准源也不是多维参数搜索,其性能与相位误差无关。仿真结果证明了该方法的有效性。

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