一种改善和差测角盲区的快速算法

A Fast Algorithm for Improving the Blind Zone of Sum-Difference Angle Estimation

传统的和差测角方法在雷达、对抗、通信等多个领域得到了广泛的应用,但受限于信噪比的影响,角度测量盲区较大。超分辨算法(如MUSIC等)能够达到非常高的角度测量精度,但计算复杂度随着阵元或波束个数的增大而增加,为了降低实时处理的难度,同时考虑到实际环境中都是针对单目标的角度测量,提出了一种基于两波束的超分辨MUSIC算法,该算法涉及到的二维矩阵特征分解在角度估计过程中具有闭式形式,不仅运算复杂度很低,而且适用于目前大多数的阵列处理系统。

Traditional sum-difference angle estimation methods have found wide applications in many fields such as radar,electronic countermeasures and communications,however,the blind zone of angle estimation is limited by the influence of signal-to-noise ratio.Although the super-resolution algorithm（such as MUSIC,etc）can achieve very high angle measurement accuracy,the computational complexity increases with the number of array elements or beams.In order to reduce the difficulty of real-time processing,a super-resolution MUSIC algorithm based on two beams is proposed for the situation that the angle estimation is conducted on a single target.The eigen-decomposition of two-dimensional matrix involved in the proposed algorithm can be expressed as a closed form to achieve angle estimation.Therefore,the proposed algorithm not only can be implemented with very low complexity,but also applicable for the most array processing systems at present.