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CC-MUSIC: An Optimization Estimator for Mutual Coupling Correction of L-Shaped Nonuniform Array with Single Snapshot

机译：CC-MUSIC：具有单快照的L形非均匀阵列相互耦合校正的优化估计器

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摘要

For the case of the single snapshot, the integrated SNR gain could not be obtained without the multiple snapshots, which degrades the mutual coupling correction performance under the lower SNR case. In this paper, a Convex Chain MUSIC (CC-MUSIC) algorithm is proposed for the mutual coupling correction of the L-shaped nonuniform array with single snapshot. It is an online self-calibration algorithm and does not require the prior knowledge of the correction matrix initialization and the calibration source with the known position. An optimization for the approximation between the no mutual coupling covariance matrix without the interpolated transformation and the covariance matrix with the mutual coupling and the interpolated transformation is derived. A global optimization problem is formed for the mutual coupling correction and the spatial spectrum estimation. Furthermore, the nonconvex optimization problem of this global optimization is transformed as a chain of the convex optimization, which is basically an alternating optimization routine. The simulation results demonstrate the effectiveness of the proposed method, which improve the resolution ability and the estimation accuracy of the multisources with the single snapshot.
机译：对于单快照的情况，没有多个快照就无法获得集成的SNR增益，这会降低SNR较低情况下的互耦校正性能。针对单快照L形非均匀阵列的相互耦合校正问题，提出了一种凸链MUSIC算法。它是一种在线自校准算法，不需要具备校正矩阵初始化和具有已知位置的校准源的先验知识。推导了不带插值变换的无互耦协方差矩阵与带互耦合和插值变换的协方差矩阵之间的近似优化方法。形成用于相互耦合校正和空间频谱估计的全局优化问题。此外，此全局优化的非凸优化问题被转换为凸优化的链，这基本上是一个交替的优化例程。仿真结果证明了该方法的有效性，提高了单快照多源的分辨率和估计精度。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|969042.1-969042.11|共11页
  • 作者

    Hou Yuguan; Zhang Tongyu; Wu Shaochuan;

  • 作者单位

    Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China.;

    China Earthquake Adm, Inst Engn Mech, Harbin 150080, Peoples R China.;

    Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Peoples R China.;

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