多波束天线通道幅相误差的自校正算法

多波束天线通道幅相误差的自校正算法

内容简介：多波束天线利用多信号分类(MUSIC)算法对目标参数进行精确估计时,存在多波束天线的通道幅度和相位误差的失配现象,使MUSIC算法的性能严重下降;针对基于MUSIC的数字波束通道不一致问题,给出了一种新的基于MUSIC算法的最小化代价函数的波束无源自校正算法,利用阵列结构的先验知识对接收数据进行预处理,得到校正矩阵后自校正,并根据多波束阵列天线形成网络天线实测参数,加入随机幅度和相位误差进行计算机模拟仿真,验证仿真算法的正确性.

Abstract：When we use the multiple beam antenna to estimate the Direction of Arrival (DOA) by using the multiple signal classification (MUSIC) algorithm, the uncertainty element's amplitude and phase will effect the DOA estimation performance of the beam antenna. So a universal technique for self-calibration based on the minimize cost function is introduced. By minimize the cost function it can get the array co-variance matrix and compensate the array uncertainty without estimation. Therefore, the proposed method is advantage over the source cali-bration algorithm that resorts to computing the sample minimize cost function. The performance of the proposed method is demonstrated by using the actual parameter of multiple beam antenna, and the computer simulations show that the proposed method provide comparable per-formance that can not only self-calibrate its sensitivity to the array uncertainty with reduce complexity compute with resource, but also fur-ther increase its precision.

作者：王健,

关键词：波达方向(DOA), 多信号分类(MUSIC), 波束天线, 代价函数, 自校正,