About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

A Method of Estimating Number of Signal with Small Snapshots

Download(Requires a free EAI acccount)
181 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_25,
        author={Baoyu Guo and Jiaqi Zhen},
        title={A Method of Estimating Number of Signal with Small Snapshots},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Determining number of signals Direction of arrival Information theoretic criteria Small snapshots},
        doi={10.1007/978-3-030-19086-6_25}
    }
    
  • Baoyu Guo
    Jiaqi Zhen
    Year: 2019
    A Method of Estimating Number of Signal with Small Snapshots
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_25
Baoyu Guo1, Jiaqi Zhen1,*
  • 1: Heilongjiang University
*Contact email: zhenjiaqi2011@163.com

Abstract

To determine the number of signals arriving on an array of sensors correctly is very important for most high resolution DOA (direction of arrival) estimation algorithms, the methods based on information theoretic criteria have good properties when there is a large snapshots, while it always leads to an error in the small snapshots field. A method based on the exact distribution of the eigenvalues of the sampling covariance matrix is proposed in the paper, it makes use of the model of information theoretic criteria at the same time, the new method has excellent performance when the snapshots is small, the computer simulation results prove the effective performance of the method.

Keywords
Determining number of signals Direction of arrival Information theoretic criteria Small snapshots
Published
2019-05-13
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-19086-6_25
Copyright © 2018–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL