CLC number: TP319
On-line Access: 2020-09-09
Received: 2019-09-02
Revision Accepted: 2019-12-30
Crosschecked: 2020-08-10
Cited: 0
Clicked: 4406
Citations: Bibtex RefMan EndNote GB/T7714
Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang. An improved subspace weighting method using random matrix theory[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1900463 @article{title="An improved subspace weighting method using random matrix theory", %0 Journal Article TY - JOUR
基于随机矩阵理论的子空间加权改良算法1南京大学电子科学与工程学院,中国南京市,210023 2南安普顿大学声振研究所,英国南安普顿市,SO171BJ 摘要:在低信噪比及信号相关情况下,加权子空间拟合(WSF)算法的性能优于多信号分类(MUSIC)算法。本文使用随机矩阵理论(RMT)改善加权子空间拟合。随机矩阵理论研究随机矩阵维数以同速率增加时,矩阵特征值和特征向量的渐近规律。加权子空间拟合中,运用近似一阶扰动计算样本协方差矩阵特征向量的统计特性。利用随机矩阵理论中关于样本协方差矩阵信号子空间向真实信号投影的范数的渐进结果,获得加权子空间拟合计算方法。仿真结果表明,在低快拍数及低信噪比情况下,本文所提方法具有优越性。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Asendorf NA, 2015. Informative Data Fusion: Beyond Canonical Correlation Analysis. PhD Thesis, University of Michigan, State of Michigan, USA. [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. [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. [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. [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. [6]Chen H, Zhang XG, Wang QS, et al., 2018. Efficient data fusion using random matrix theory. IEEE Signal Process Lett, 25(5):605-609. [7]He X, Ai Q, Qiu RC, et al., 2017. A big data architecture design for smart grids based on random matrix theory. IEEE Trans Smart Grid, 8(2):674-686. [8]Krim H, Viberg M, 1996. Two decades of array signal processing research: the parametric approach. IEEE Signal Process Mag, 13(4):67-94. [9]Li S, He W, Yang XG, et al., 2014. Direction-of-arrival estimation of quasi-stationary signals using two-level Khatri-Rao subspace and four-level nested array. J Cent South Univ, 21(7):2743-2750. [10]Liu AH, Yang Q, Zhang X, et al., 2018. Modified root music for co-prime linear arrays. Electron Lett, 54(15):949-950. [11]Schmidt R, 1986. Multiple emitter location and signal parameter estimation. IEEE Trans Antenn Propag, 34(3):276-280. [12]Viberg M, Ottersten B, Kailath T, 1991. Detection and estimation in sensor arrays using weighted subspace fitting. IEEE Trans Signal Process, 39(11):2436-2449. [13]Wan LT, Han GJ, Jiang JF, et al., 2017. DOA estimation for coherently distributed sources considering circular and noncircular signals in massive MIMO systems. IEEE Syst J, 11(1):41-49. [14]Wu XG, Guo TW, 2011. Direction of arrival parametric estimation and simulation based on MATLAB. Int Conf on Informatics, Cybernetics, and Computer Engineering, p.147-156. [15]Zhao LM, Liu HQ, Li Y, et al., 2015. DOA estimation under sensor gain and phase uncertainties. Int Conf on Estimation, Detection and Information Fusion, p.209-213. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE |
Open peer comments: Debate/Discuss/Question/Opinion
<1>