| 摘要: |
| 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。 |
| 关键词: 和差测角 超分辨 快速算法 多重信号分类 |
| DOI： |
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| A Fast Algorithm for Improving the Blind Zone of Sum-Difference Angle Estimation |
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LIU Chunjing
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1.The 38th Research Institute of China Electronics Technology Group Corporation;2.Key Laboratory of Aperture Array and Space Application
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| Abstract: |
| 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. |
| Key words: sum-difference angle estimation super-resolution fast algorithm multiple signal classification(MUSIC) |
