一种均匀线阵互耦和幅相误差校正算法

A mutual coupling and gainphase errors calibration algorithm for uniform linear array

  • 摘要: 阵列互耦和幅相误差会严重影响MUSIC算法的测向性能,为此该文基于均匀线阵,给出了一种新的阵列互耦和幅相误差校正算法.文中首先根据阵列协方差矩阵的关系式构造了一种二次代价函数,然后利用理想条件下均匀线阵协方差矩阵具有Toeplitz结构的性质,通过交替迭代的方法对该代价函数进行优化求解,从而估计出了阵列互耦、幅相误差以及理想条件下的协方差矩阵,最后利用MUSIC算法即可得到信源方位的估计值.计算机仿真结果验证了文中算法的有效性.

     

    Abstract: The mutual coupling and gainphase errors have great negative impacts on the directionfinding performance of the MUSIC algorithm,therefore a novel calibration algorithm for mutual coupling and gainphase errors based on uniform linear array is presented.Firstly,a quadratic cost function,which utilizes the expression of array covariance matrix,is built.Next,the cost function is minimized by alternating iteration method which uses the Toeplitz structure of the covariance matrix for uniform linear array under ideal condition,thus the mutual coupling,gainphase errors and the array covariance matrix under ideal condition can be estimated.Finally,the signals azimuths can be obtained by the MUSIC algorithm.Simulation results demonstrate the validity of the new algorithm.

     

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