基于模式转换自适应零点形成的研究

Research of Adaptive Null Forming Based on Mode Space Transform

利用模式空间变换算法将均匀圆阵转换为均匀线阵,在虚拟线阵的阵列流形中,比较了Gram-Schmidt正交化算法、自适应旁瓣对消和SMI算法这三种算法形成的方向图。G-S正交化算法可以在干扰方向准确地形成零点,但是没有很深的零陷深度;SMI算法的计算量比较大,因此在零点方向上有稍微的误差,但经过旁瓣对消的虚拟线阵的方向图有很深的零点深度。仿真结果表明,经过旁瓣对消的方向图主瓣增益损失较少,副瓣高度降低,主瓣比副瓣高大约10 dB^12 dB。

This paper changes uniform circular array to line array by mode space transformation algorithm.Then it compares the patterns which were formed by Gram-Schmidt orthogonal algorithm,Side-lobe cancellation algorithm and SMI algorithm.The pattern of G-S orthogonal algorithm can form null in the directions of clutters,but the depth of null is not enough;SMI algorithm has mass calculation and a little of error in the direction of disturbances;The uniform circular arrays pattern through side-lobe cancellation has ...