Young Researcher Paper Award 2021
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 6(4) (2022)
Copyright(C) MYU K.K.
pp. 2371-2389
S&M2978 Research Paper of Special Issue
https://doi.org/10.18494/SAM3779
Published: June 30, 2022

Accurate Estimation of Number of Signal Sources by Eigenvalue Quadratic Diagonal Loading [PDF]

Chuanchuan Wang, Yonghu Zeng, Zhipeng Li, and Liandong Wang

(Received December 15, 2021; Accepted May 31, 2022)

Keywords: estimation of number of sources, colored noise, information theoretic criterion method, general asymptotic regime, eigenvalue quadratic diagonal loading

To solve the problem of estimating the number of sources when an antenna array is used for signal reception, an eigenvalue quadratic diagonal loading technique is proposed. The proposed method is applicable under the condition of the proportional relationship between the number of antenna elements and that of snapshots, and whether the received signals are mixed with white Gaussian or colored noise is unknown. The method we proposed belongs to an important area of antenna array signal processing in the field of sensor technology. Firstly, the covariance matrix of received signals is eigenvalue-decomposed. Secondly, eigenvalues are loaded diagonally. The first diagonal loading value is taken as the arithmetic average of all eigenvalues, and the original eigenvalues and diagonal loading value are added to replace the original eigenvalues. The quadratic diagonal loading formula is devised to carry out the quadratic diagonal loading on the eigenvalues immediately after the first diagonal loading. Finally, the information theoretic criterion and random matrix theory methods are chosen to combine with the proposed method to estimate the number of sources. The method is validated by simulation experiments. By combining the proposed method with the existing information theoretic criterion methods, the proposed method can be suitable for the general asymptotic regime with the same number of antenna elements and snapshots in a white Gaussian or colored noise environment. The application range of the random matrix theory methods is extended by the proposed method, so that it can be applied to the colored noise environment.

Corresponding author: Yonghu Zeng


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Chuanchuan Wang, Yonghu Zeng, Zhipeng Li, and Liandong Wang, Accurate Estimation of Number of Signal Sources by Eigenvalue Quadratic Diagonal Loading, Sens. Mater., Vol. 34, No. 6, 2022, p. 2371-2389.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Biosensors and Biofuel Cells for Smart Community and Smart Life
Guest editor, Seiya Tsujimura (University of Tsukuba), Isao Shitanda (Tokyo University of Science), and Hiroaki Sakamoto (University of Fukui)


Special Issue on the International Multi-Conference on Engineering and Technology Innovation 2021 (IMETI2021)
Guest editor, Wen-Hsiang Hsieh (National Formosa University)
Conference website


Special Issue on Novel Sensors and Related Technologies on IoT Applications: Part 1-2
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2021)
Guest editor, Sheng-Joue Young (National United University), Shoou-Jinn Chang (National Cheng Kung University), Liang-Wen Ji (National Formosa University), and Yu-Jen Hsiao (Southern Taiwan University of Science and Technology)
Conference website
Call for paper


Special Issue on Advanced Technologies for Remote Sensing and Geospatial Analysis: Part 3
Guest editor, Dong Ha Lee (Kangwon National University) and Myeong Hun Jeong (Chosun University)
Call for paper


Special Issue on APCOT 2022
Guest editor, Yuelin Wang, Tie Li (Shanghai Institute of Microsystem and Information Technology) and Qingan Huang (Southeast University)
Conference website
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.