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首页> 外文会议>Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on >Mutual coupling self-calibration algorithm for uniform linear array based on ESPRIT
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Mutual coupling self-calibration algorithm for uniform linear array based on ESPRIT

机译：基于ESPRIT的均匀线性阵列互耦自校准算法

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摘要

By exploiting the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array (ULA), an efficient self-calibration algorithm based on estimation of signal parameter via rotational invariance techniques (ESPRIT) is proposed. The DOA and mutual coupling parameters can be decoupled by a smart choosing of subarrays for ESPRIT method, and favorable DOA estimation can be provided without the knowledge of the sensor mutual coupling matrix. Based on the estimated DOAs, an accurate estimation of mutual coupling matrix (MCM) can also be achieved for the self-calibration of ULA. The DOA estimation and mutual coupling estimation could be completed without any angle-searching and iterative procedure, so its computational burden is low. The correction and efficiency of the proposed algorithm are verified by the computer simulation results.
机译：通过将带状对称矩阵和Toeplitz矩阵模型用于均匀线性阵列（ULA）的相互耦合，提出了一种通过旋转不变技术（ESPRIT）基于信号参数估计的高效自校准算法。可通过智能选择ESPRIT方法的子阵列来解耦DOA和互耦合参数，并且无需了解传感器互耦合矩阵即可提供有利的DOA估计。基于估计的DOA，还可以实现对互耦合矩阵（MCM）的准确估计，以实现ULA的自校准。 DOA估计和相互耦合估计无需任何角度搜索和迭代过程即可完成，因此其计算量很低。计算机仿真结果验证了所提算法的正确性和有效性。

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