摘要
ESPRIT算法是一种速度快、精度高的常用算法,但它不能解相干。针对此缺陷,提出了一种新的高效相干源DOA估计的改进ESPRTIT方法,新方法对数据协方差矩阵的最大特征值对应的特征向量按一定方式进行重排处理,以此来重构需要解相干矩阵。它不仅解决了常规ESPRIT算法不能解相干的问题,同时相对常规ESPRIT算法计算过程大大简化。计算机仿真实验证明了该方法在解相干方面的良好性能,为解相干的ESPRIT算法在阵列信号处理的超高分辨领域开辟了新的途径。
ESPRIT algorithm is a common algorithm of high speed and high precision, but it didn＇ t estimate coherent signal. Aiming at the bug ,this paper proposed a new improved ESPRIT algorithm of DOA（ direction of arrival） estimate of high efficiency and coherent source. Eigenvector corresponding to the maximum eigenvalue of the data correlation matrix could be arranged via method which was raised. It solved the following problem of routine ESPRIT algorithm ： not estimating coherent signal. Meanwhile, compared with routine ESPRIT algorithm, it greatly simplified computable course. Computer simulator realization makes sure that it is DOA estimate algorithm of high efficiency, resolution and precision in estimating coherent signals, it provides new approach which ESPRIT algorithm of estimating coherent source has application on high resolving field of array signal.
出处
《计算机应用研究》
CSCD
北大核心
2010年第1期314-316,共3页
Application Research of Computers
基金
西北工业大学自然科学基金资助项目(W018103)
