An improved subspace weighting method using random matrix theory-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An improved subspace weighting method using random matrix theory

Published:2020-09 Issue:9 Volume:21 Page:1302-1307
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Gao Yu-meng^ORCID,Li Jiang-hui,Bai Ye-chao^ORCID,Wang Qiong,Zhang Xing-gan

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.1900463.pdf

Reference15 articles.

1. PhD Thesis;NA Asendorf,2015

2. Bai XJ, Li YA, Zhang W, et al., 2014. Direction of arrival estimation of two wide-band sources with small array based on beam-space coherent signal-subspace method. In: Xing S, Chen S, Wei Z (Eds.), Unifying Electrical Engineering and Electronics Engineering. Springer, New York, p.1415–1423. https://doi.org/10.1007/978-1-4614-4981-2-155

3. Bai YC, Li JH, Wu Y, et al., 2018. Weighted incoherent signal subspace method for DOA estimation on wideband colored signals. IEEE Access, 7:1224–1233. https://doi.org/10.1109/ACCESS.2018.2886250

4. Basha TSG, Sridevi PV, Prasad MNG, 2013. Beam forming in smart antenna with precise direction of arrival estimation using improved music. Wirel Person Commun, 71(2):1353–1364. https://doi.org/10.1007/s11277-012-0879-9

5. Benaych-Georges F, Nadakuditi RR, 2011. The eigenvalues and eigenvectors of finite low rank perturbations of large random matrices. Adv Math, 227(1):494–521. https://doi.org/10.1016/j.aim.2011.02.007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Power Load Forecasting Method Based on Random Matrix Theory and CNN-LSTM Model;2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI);2022-10-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3