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An improved gain-phase error self-calibration method for robust DOA estimation

机译:鲁棒DOA估计的改进增益相误差自校准方法

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摘要

A novel online antenna array calibration method is presented in this paper for estimating direction-of-arrival (DOA) in the case of uncorrelated and coherent signals with unknown gain-phase errors. Conventional calibration methods mainly consider incoherent signals for uniform linear arrays with gain-phase errors. The proposed method has better performance not only for uncorrelated signals but also for coherent signals. First, an on-grid sparse technique based on the covariance fitting criteria is reformulated aiming at gain-phase errors to obtain DOA and the corresponding source power, which is robust to coherent sources. Second, the gain-phase errors are estimated in the case of uncorrelated and coherent signals via introducing an exchange matrix as the pre-processing of a covariance matrix and then decomposing the eigenvalues of the covariance matrix. Those parameters estimate values converge to the real values by an alternate iteration process. The proposed method does not require the presence of calibration sources and previous calibration information unlike offline ways. Simulation results verify the effectiveness of the proposed method which outperforms the traditional approaches.
机译:本文提出了一种新颖的在线天线阵列校准方法,用于在具有未知增益相位误差的不相关和相干信号的情况下估计到达方向(DOA)。常规校准方法主要考虑具有增益相误差的均匀线性阵列的不连贯信号。该方法不仅具有更好的性能,不仅具有不相关的信号,而且具有更好的性能,而且还具有相干信号。首先,基于协方差拟标准的网格稀疏技术是重构的,以获得增益相误差以获得DOA和相应的源功率,这是对相干来源的强大。其次,通过将交换矩阵作为协方差矩阵的预处理,在不相关和相干信号的情况下估计增益相误差,然后将交换矩阵引入协方差矩阵,然后分解协方差矩阵的特征值。那些参数估计值通过备用迭代过程将值收敛到真实值。该方法不需要存在校准来源和以前的校准信息与离线方式不同。仿真结果验证了所提出的方法优于传统方法的有效性。

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