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A Joint Calibration Method for Array Gain-phase Errors and Mutual Coupling Errors

机译:阵列增益相位误差和相互耦合误差的联合校准方法

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Combining the search depth of particle swarm optimization (PSO) algorithm and the search breadth of invasive weed optimization (IWO) algorithm, an offline algorithm, based on IWO-PSO for joint correction of gain-phase errors and mutual coupling errors, is proposed. Firstly, a known auxiliary source is used to establish an objective function containing both gain-phase errors and mutual coupling errors, and then the IWO-PSO algorithm is used to search for those array errors satisfying the optimal values of the objective function through an alternating iteration procedure. The proposed method does not need prior knowledge of array perturbations, and has good estimation performance of DOA and array errors. Compared with other calibration methods based on optimization algorithms, the RMSE curve of the proposed method for DOA estimation is closer to CRB curve.
机译:组合了粒子群优化(PSO)算法的搜索深度和侵入性杂草优化(IWO)算法的搜索宽度,提出了一种基于IWO-PSO的离线算法,用于接头校正增益相误差和相互耦合误差。首先,已知的辅助源用于建立包含增益相误差和互联耦合误差的目标函数,然后使用IWO-PSO算法通过交替来搜索满足目标函数的最佳值的那些阵列误差迭代程序。该方法不需要先验的阵列扰动知识,并具有良好的DOA和阵列错误的估计性能。与基于优化算法的其他校准方法相比,DOA估计方法的RMSE曲线更接近CRB曲线。

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