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

机译:鲁棒DOA估计的改进的增益相位误差自校准方法

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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,用于在增益相位误差未知且信号不相关且相干的情况下估计到达方向(DOA)。传统的校准方法主要考虑具有增益相位误差的均匀线性阵列的非相干信号。所提出的方法不仅对于不相关信号而且对于相干信号都具有更好的性能。首先,针对增益相位误差,重新设计了基于协方差拟合标准的网格稀疏技术,以获得DOA和相应的源功率,这对相干源具有鲁棒性。其次,在不相关和相干信号的情况下,通过引入交换矩阵作为协方差矩阵的预处理,然后分解协方差矩阵的特征值,来估计增益相位误差。这些参数估计值通过备用迭代过程收敛到实际值。与离线方式不同,所提出的方法不需要校准源和先前的校准信息。仿真结果验证了该方法的有效性,优于传统方法。

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