English 
吴伟

副教授 硕士生导师

招生学科专业:
航空宇航科学与技术 -- 【招收硕士研究生】 -- 航空学院
机械 -- 【招收硕士研究生】 -- 航空学院

主要任职:直升机系副主任

其他任职:ARF International Committee Member

性别:男

毕业院校:南京航空航天大学

学历:博士研究生毕业

学位:工学博士学位

所在单位:直升机动力学全国重点实验室/直升机研究院

办公地点:明故宫校区A5-309

联系方式:Tel: 025-84896850 Mobile: 13815431204(微信同号)

电子邮箱:

手机版

访问量:

最后更新时间:..

当前位置: 中文主页 >> 科学研究 >> 论文成果
Computationally Efficient Sources Location Method for Nested Array via Massive Virtual Difference Co-Array

点击次数:

所属单位:电子信息工程学院

发表刊物:SENSORS

关键字:direction of arrival estimation nested arrays discrete Fourier transform degrees of freedom

摘要:In this paper, we derive the discrete Fourier transform (DFT) method for direction of arrival (DOA) estimation by generating the massive virtual difference co-array with the nested array. By contrast with the spatial smoothing (SS) subspace-based methods for nested array, which halve the array aperture, the proposed method can take full advantage of the total array aperture. Since the conventional DFT method is a non-parametric method and is limited by Rayleigh threshold, we perform the phase rotation operation to obtain the fine DOA estimates. Owing to the full utilization of the array aperture and phase rotation operation, the proposed method can achieve better performance than SS subspace-based methods for far-field sources especially with massive virtual difference co-arrays which possess a large number of virtual sensors. Besides, as the fast Fourier transform (FFT) is attractive in practical implementation, the proposed method lowers the computational cost, as compared with the subspace-based methods. Numerical simulation results validate the superiority of the proposed method in both estimation performance and complexity.

ISSN号:1424-8220

是否译文:

发表时间:2019-05-01

合写作者:Wu, Wei,Wang, Yunfei,张小飞,李建峰

通讯作者:吴伟,李建峰

版权所有©2018- 南京航空航天大学·信息化处(信息化技术中心)