非均匀噪声稀疏均匀圆阵的二维DOA估计

针对在机载雷达、通信等领域有着广泛应用的均匀圆阵(UCA),研究了非均匀噪声下稀疏均匀圆阵的二维波达方向(DOA)估计.首先采用改进的相位模式方法构造非均匀噪卢稀疏均匀圆阵的波柬空间似然函数;之后,在分析非均匀噪声稀疏均匀圆阵的波束空间似然函数特点的基础上,修改了Burg的逆迭代算法以适应稀疏均匀圆阵下非均匀噪声自相关...

2-D DOA Estimation for Sparse Uniform Circular Array in Presence of Unknown Nonuniform Noise

Uniform circular arrays (UCAs) are widely used in airborne radar and communication applications. This article addresses the 2-D DOA estimation for sparse UCA in the presence of unknown nonuniform noise. First of all, the beamspace likelihood function for sparse UCA in the nonuniform noise is constructed by means of the modified phase-mode principle. Then, based on an analysis of the beamspace likelihood function of sparse UCA in the nonuniform noise, Burg’s inverse iteration algorithm is modified to estimate the noise covariance matrix of the nonuniform noise on the sparse UCA. Finally, by deriving the gradient and the asymptotic Hessian matrix of the likelihood function in the nonuniform noise, the angle parameters are estimated based on the (Modified Variable Projection, MVP) method. The simulation results show that the proposed method has better performance than sparse UCA root-MUSIC and the traditional maximum-likelihood algorithm. This method can deal with coherent sources as well.