基于共形阵的角度和极化信息联合估计算法

Joint estimation algorithm of DOA and polarization information based on conformal array

针对复杂载体上共形阵列存在多极化接收和遮挡效应的问题,本文提出一种基于方向图矩阵重构导向矢量的改进极化多重信号分类(multiple signal classification,MUSIC)算法。首先对共形天线阵列进行建模,在获取各个阵元的方位和俯仰分量方向图数据后,将方向图数据分解并重构阵列的导向矢量矩阵,最后结合极化MUSIC算法进行波达方向(direction of arrival,DOA)和极化参数联合估计。相对于理论导向矢量的极化MUSIC算法,本文所提改进算法在解决了遮挡效应的同时具有更高的估计精度,并可有效降低运算量。仿真实验结果验证了这一结论。

Aiming at the problem of multi-polarization reception and occlusion effects of conformal arrays on complex carriers,this paper proposes an improved polarization multiple signal classification(MUSIC)algorithm based on the pattern matrix reconstruction steering vector.First,we model the conformal antenna array.Then,after the azimuth and elevation component pattern data of each element are obtained,the pattern data is decomposed and reconstructed to the steering vector matrix of the array.Finally,we estimate the direction of arrival(DOA)and polarization parameters by the polarization MUSIC algorithm.Compared with the polarization MUSIC algorithm based on the theoretical steering vector,the improved algorithm proposed in this paper has higher estimation accuracy while avoiding the occlusion effect.It also can reduce the amount of calculation.The conclusion is verified by simulation experiments.