阵列误差条件下基于INI-MUSIC算法的二维DOA估计

2D DOA Estimation Based on INI-MUSIC Algorithm With Array Error

针对轮换迭代算法在混合互耦误差和幅相误差条件下存在估计精度不高的问题,提出了一种改进非迭代多重信号分类(improved non-iterative multiple signal classification,INI-MUSIC)算法.改进算法利用误差系数在均匀圆阵下的特殊性质和矩阵向量转换定理,将幅相误差和互耦误差与波达方向(direction of arrival,DOA)估计角度分离,从而实现混合误差下的降维操作,进而通过重新构造代价谱峰函数对亏损的秩进行补偿,实现对DOA角度的估计和对误差系数的联合估计.此算法降低了混合误差条件下错误谱峰出现的概率,具有更好的二维DOA估计精度,工程应用价值更高.

An improved non-iterative multiple signal classification(INI-MUSIC)algorithm was proposed to solve the problem of low estimation accuracy of rotation iterative algorithm under the condition of mixed mutual coupling error and amplitude gain error.The improved algorithm used the special properties of the error coefficients under a uniform circular array and the matrix-vector conversion theorem to separate the amplitude-phase error and the mutual coupling error from the DOA estimation,so as to realize the dimension reduction operation under the mixed error.Then the cost spectrum peak function was reconstructed to compensate the loss of rank and to obtain the estimation of the DOA angle and the joint estimation of the error coefficient.The probability of error spectrum peaks was reduced by the proposed algorithm,which has better two-dimensional DOA estimation accuracy,and has higher engineering application value.