| 一种基于广义特征向量的改进ESPRIT测向算法 |
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| 引用本文： | 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（自然科学版）,2015,44(2):201-204. |
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| 作者姓名： | 徐保根 谢伟 万义和 汤四龙 龚辉 丁学科 |
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| 作者单位： | 1.同方电子科技有限公司 江西 九江 332007; |
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| 摘 要： | 基于信号子空间的ESPRIT算法不需要进行谱峰搜索,但是估计方差大于MUSIC算法。该文提出了一种基于广义特征向量的ESPRIT算法,利用信号子空间旋转不变关系矩阵的广义特征向量估计信号波达方向,得到了比基于广义特征值算法更准确的方向估计结果。该算法充分利用了信号子空间的旋转不变特性,通过利用信号子空间与阵列流形的关系进行波达方向估计,实验证明该算法能够在保持小计算量的优势下达到与MUSIC算法相近的性能。
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| 关 键 词： | 波达方向 广义特征向量 最小二乘 阵列流形 |
| 收稿时间： | 2013-04-01 |
An Improved ESPRIT Algorithm Based on Generalized Eigenvectors |
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| XU Bao-gen,XIE Wei,WAN Yi-he,TANG Si-long,GONG Hui,DING Xue-ke.An Improved ESPRIT Algorithm Based on Generalized Eigenvectors[J].Journal of University of Electronic Science and Technology of China,2015,44(2):201-204. |
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| Authors: | XU Bao-gen XIE Wei WAN Yi-he TANG Si-long GONG Hui DING Xue-ke |
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| Affiliation: | 1.TongFang Electronic Science and Technology Co. Ltd. Jiujiang Jiangxi 332007;2.School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu 611731 |
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| 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. |
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| Keywords: | direction of arrival generalized eigenvector least squares approximations matrix manifold |
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