电子科技大学学报Issue(2)：201-204,220,5.DOI:10.3969/j.issn.1001-0548.2015.02.007
一种基于广义特征向量的改进ESPRIT测向算法
An Improved ESPRIT Algorithm Based on Generalized Eigenvectors
摘要
Abstract
Estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm does not need spectral peak searching, but the estimated variance is greater than the multiple signal classification (MUSIC) algorithm. This paper proposes a generalized eigenvector-based ESPRIT algorithm, which makes full use of generalized eigenvectors of rotation invariant relationship matrix and obtains a better performance when compared with traditional ESPRIT algorithm. The experimental results show that the proposed algorithm can achieve the similar performance of the MUSIC algorithm while keeping a low computational complexity.关键词
波达方向/广义特征向量/最小二乘/阵列流形Key words
direction of arrival/generalized eigenvector/least squares approximations/matrix manifold分类
信息技术与安全科学引用本文复制引用
徐保根,谢伟,万义和,汤四龙,龚辉,丁学科..一种基于广义特征向量的改进ESPRIT测向算法[J].电子科技大学学报,2015,(2):201-204,220,5.基金项目
国家自然科学基金(61401069) （61401069）
