ESTIMATION OF SOURCES NUMBER AND DOA BY PSEUDO-COVARIANCE MATRIX CONSTRUCTED FROM SINGLE SNAPSHOT

Hong Bo Li; Qiang Yang; Ai Jun Liu; Zhe Lyu

doi:10.1049/icp.2021.0712

ESTIMATION OF SOURCES NUMBER AND DOA BY PSEUDO-COVARIANCE MATRIX CONSTRUCTED FROM SINGLE SNAPSHOT

Hong Bo Li
, Qiang Yang
, Ai Jun Liu^*
, Zhe Lyu

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology
School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The high frequency ground wave radar has a longer accumulation time, resulting in less received data that can be used for spatial spectrum estimation. Aiming at this problem, this paper designs a pseudo-covariance matrix construction method based on single snapshot, and theoretically proves that the matrix is suitable for Gerschgorin disk algorithm (GDE) criterion source number estimation and multiple signal classification (MUSIC) algorithm Direction of Arrival DOA) estimation. In order to improve the estimation performance, matrix weighting algorithm and beam domain algorithm are used. The simulation results show that the estimation of sources number and DOA based on the pseudo-covariance matrix can achieve good performance under the actual radar signal-to-noise ratio (SNR).

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	677-681
Number of pages	5
Volume	2020
Edition	9
ISBN (Electronic)	9781839535406
DOIs	https://doi.org/10.1049/icp.2021.0712
State	Published - 2020
Externally published	Yes
Event	5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	5th IET International Radar Conference, IET IRC 2020
City	Virtual, Online
Period	4/11/20 → 6/11/20

Keywords

DOA
PSEUDO-COVARIANCE MATRIX
SINGLE SNAPSHOT
SOURCES NUMBER

Access to Document

10.1049/icp.2021.0712

Cite this

@inproceedings{736b6828a7b64f54a0356cd3a91014ac,

title = "ESTIMATION OF SOURCES NUMBER AND DOA BY PSEUDO-COVARIANCE MATRIX CONSTRUCTED FROM SINGLE SNAPSHOT",

abstract = "The high frequency ground wave radar has a longer accumulation time, resulting in less received data that can be used for spatial spectrum estimation. Aiming at this problem, this paper designs a pseudo-covariance matrix construction method based on single snapshot, and theoretically proves that the matrix is suitable for Gerschgorin disk algorithm (GDE) criterion source number estimation and multiple signal classification (MUSIC) algorithm Direction of Arrival DOA) estimation. In order to improve the estimation performance, matrix weighting algorithm and beam domain algorithm are used. The simulation results show that the estimation of sources number and DOA based on the pseudo-covariance matrix can achieve good performance under the actual radar signal-to-noise ratio (SNR).",

keywords = "DOA, PSEUDO-COVARIANCE MATRIX, SINGLE SNAPSHOT, SOURCES NUMBER",

author = "Li, \{Hong Bo\} and Qiang Yang and Liu, \{Ai Jun\} and Zhe Lyu",

note = "Publisher Copyright: {\textcopyright} 2020 IET Conference Proceedings. All rights reserved.; 5th IET International Radar Conference, IET IRC 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

doi = "10.1049/icp.2021.0712",

language = "英语",

volume = "2020",

pages = "677--681",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "英国",

edition = "9",

}

TY - GEN

T1 - ESTIMATION OF SOURCES NUMBER AND DOA BY PSEUDO-COVARIANCE MATRIX CONSTRUCTED FROM SINGLE SNAPSHOT

AU - Li, Hong Bo

AU - Yang, Qiang

AU - Liu, Ai Jun

AU - Lyu, Zhe

PY - 2020

Y1 - 2020

N2 - The high frequency ground wave radar has a longer accumulation time, resulting in less received data that can be used for spatial spectrum estimation. Aiming at this problem, this paper designs a pseudo-covariance matrix construction method based on single snapshot, and theoretically proves that the matrix is suitable for Gerschgorin disk algorithm (GDE) criterion source number estimation and multiple signal classification (MUSIC) algorithm Direction of Arrival DOA) estimation. In order to improve the estimation performance, matrix weighting algorithm and beam domain algorithm are used. The simulation results show that the estimation of sources number and DOA based on the pseudo-covariance matrix can achieve good performance under the actual radar signal-to-noise ratio (SNR).

AB - The high frequency ground wave radar has a longer accumulation time, resulting in less received data that can be used for spatial spectrum estimation. Aiming at this problem, this paper designs a pseudo-covariance matrix construction method based on single snapshot, and theoretically proves that the matrix is suitable for Gerschgorin disk algorithm (GDE) criterion source number estimation and multiple signal classification (MUSIC) algorithm Direction of Arrival DOA) estimation. In order to improve the estimation performance, matrix weighting algorithm and beam domain algorithm are used. The simulation results show that the estimation of sources number and DOA based on the pseudo-covariance matrix can achieve good performance under the actual radar signal-to-noise ratio (SNR).

KW - DOA

KW - PSEUDO-COVARIANCE MATRIX

KW - SINGLE SNAPSHOT

KW - SOURCES NUMBER

UR - https://www.scopus.com/pages/publications/85174658821

U2 - 10.1049/icp.2021.0712

DO - 10.1049/icp.2021.0712

M3 - 会议稿件

AN - SCOPUS:85174658821

VL - 2020

SP - 677

EP - 681

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 5th IET International Radar Conference, IET IRC 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

ESTIMATION OF SOURCES NUMBER AND DOA BY PSEUDO-COVARIANCE MATRIX CONSTRUCTED FROM SINGLE SNAPSHOT

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this