基于多均匀圆阵的中心对称平滑算法

Central symmetry smoothing algorithm based on multi-UCA

根据均匀圆阵的中心对称特性,通过对中心对称子阵接收数据的反相处理,提出了一种应用于二维相干信号测向的中心对称平滑算法.算法提高了阵元的复用率,降低了所需阵元数,理论上该算法适用任意子阵结构.一些具有中心对称性结构的特殊阵列,其内部能够构造出虚拟子阵,在该类阵列中应用文中算法可减少所需的物理子阵数量.以多均匀圆阵为例,给出了算法的分析过程与计算方法,仿真结果验证了算法的正确性.

According to central symmetry properties of uniform circular array,through phase reverse processing of received data from centrosymmetric sub-arrays,a central symmetry smoothing algorithm which is applied to 2D direction-finding of coherent signals is proposed.The reuse rate of sensors is improved in this algorithm,and the number of sensors required is reduced.This method can be applied to all structure of sub-array in theory.Virtual sub-arrays can be constructed in some specific arrays with centrosymmetric structure.The requirement of physical sub-array number for smoothing can be reduced by applying the algorithm to this type of arrays.Considering the case of multi-UCA,the analysis process and the calculation method of this algorithm are presented.Correctness of the algorithm is verified by the simulation results.