摘要
阵列幅相误差会严重影响MUSIC算法的测向性能,为此基于均匀线阵,给出了一种新的幅相误差校正算法。首先根据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此二次代价函数进行优化求解,从而估计出了幅相误差和理想条件下的协方差矩阵,最后利用MUSIC算法即可估计出信源方位。计算机仿真结果验证了文中的算法是有效的,并且具有较高的参数估计精度。
The amplitude and phase errors of an array degrade severely the performance of the MUSIC algorithm, therefore this article presents a new calibration algorithm for amplitude and phase errors in uniform linear array. Firstly, a quadratic cost function is built by using the expression of covariance matrix. Secondly, based on the Toeplitz structure of the covariance matrix for uniform linear array under ideal condition, an alternating iteration method is used to optimize the cost function, and then the amplitude and phase errors and the covariance matrix under ideal condition can be estimated. Finally, the sources azimuths can be obtained by the MUSIC algorithm. Simulation results demonstrate the validity and advantages of the new algorithm.
出处
《雷达科学与技术》
2009年第4期289-295,300,共8页
Radar Science and Technology
关键词
测向
阵列校正
均匀线阵
幅相误差
TOEPLITZ矩阵
direction finding
array calibration
uniform linear array
amplitude and phase errors
Toeplitz matrix
