Weak Target Detection with Information Geometry in Weather Clutter

Haonan Sheng; Xin Zhang

doi:10.1109/ICFEICT57213.2022.00022

Weak Target Detection with Information Geometry in Weather Clutter

Haonan Sheng
, Xin Zhang^*

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

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

1 Scopus citations

Abstract

In this paper, according to the nonuniform and non-smooth characteristics of clutter, we apply the information geometry method to the field of target detection in weather clutter background. We carry out the simulation modeling of weather clutter power and amplitude model, derive the Riemann mean and Riemann distance of the matrix manifold applicable to the Rayleigh clutter covariance matrices using the matrix constant false alarm rate (CFAR) detection method, and use the simulation data for verification. Simulation results show that compared with the traditional CF AR detection method, the information geometry-based detection method can effectively improve the detection probability with the same false alarm probability.

Original language	English
Title of host publication	Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	77-82
Number of pages	6
ISBN (Electronic)	9781665454766
DOIs	https://doi.org/10.1109/ICFEICT57213.2022.00022
State	Published - 2022
Event	2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022 - Wuhan, China Duration: 19 Aug 2022 → 21 Aug 2022

Publication series

Name	Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022

Conference

Conference	2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022
Country/Territory	China
City	Wuhan
Period	19/08/22 → 21/08/22

Keywords

Information Geometry
Rayleigh Distribution
Target Detection
Weather Clutter

Access to Document

10.1109/ICFEICT57213.2022.00022

Cite this

Sheng, H., & Zhang, X. (2022). Weak Target Detection with Information Geometry in Weather Clutter. In Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022 (pp. 77-82). (Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICFEICT57213.2022.00022

Sheng, Haonan ; Zhang, Xin. / Weak Target Detection with Information Geometry in Weather Clutter. Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 77-82 (Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022).

@inproceedings{7a602bcbbc6147bea85cf9410c6e5cb2,

title = "Weak Target Detection with Information Geometry in Weather Clutter",

abstract = "In this paper, according to the nonuniform and non-smooth characteristics of clutter, we apply the information geometry method to the field of target detection in weather clutter background. We carry out the simulation modeling of weather clutter power and amplitude model, derive the Riemann mean and Riemann distance of the matrix manifold applicable to the Rayleigh clutter covariance matrices using the matrix constant false alarm rate (CFAR) detection method, and use the simulation data for verification. Simulation results show that compared with the traditional CF AR detection method, the information geometry-based detection method can effectively improve the detection probability with the same false alarm probability.",

keywords = "Information Geometry, Rayleigh Distribution, Target Detection, Weather Clutter",

author = "Haonan Sheng and Xin Zhang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022 ; Conference date: 19-08-2022 Through 21-08-2022",

year = "2022",

doi = "10.1109/ICFEICT57213.2022.00022",

language = "英语",

series = "Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "77--82",

booktitle = "Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022",

address = "美国",

}

Sheng, H & Zhang, X 2022, Weak Target Detection with Information Geometry in Weather Clutter. in Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022. Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 77-82, 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022, Wuhan, China, 19/08/22. https://doi.org/10.1109/ICFEICT57213.2022.00022

Weak Target Detection with Information Geometry in Weather Clutter. / Sheng, Haonan; Zhang, Xin.
Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 77-82 (Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022).

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

TY - GEN

T1 - Weak Target Detection with Information Geometry in Weather Clutter

AU - Sheng, Haonan

AU - Zhang, Xin

PY - 2022

Y1 - 2022

N2 - In this paper, according to the nonuniform and non-smooth characteristics of clutter, we apply the information geometry method to the field of target detection in weather clutter background. We carry out the simulation modeling of weather clutter power and amplitude model, derive the Riemann mean and Riemann distance of the matrix manifold applicable to the Rayleigh clutter covariance matrices using the matrix constant false alarm rate (CFAR) detection method, and use the simulation data for verification. Simulation results show that compared with the traditional CF AR detection method, the information geometry-based detection method can effectively improve the detection probability with the same false alarm probability.

AB - In this paper, according to the nonuniform and non-smooth characteristics of clutter, we apply the information geometry method to the field of target detection in weather clutter background. We carry out the simulation modeling of weather clutter power and amplitude model, derive the Riemann mean and Riemann distance of the matrix manifold applicable to the Rayleigh clutter covariance matrices using the matrix constant false alarm rate (CFAR) detection method, and use the simulation data for verification. Simulation results show that compared with the traditional CF AR detection method, the information geometry-based detection method can effectively improve the detection probability with the same false alarm probability.

KW - Information Geometry

KW - Rayleigh Distribution

KW - Target Detection

KW - Weather Clutter

UR - https://www.scopus.com/pages/publications/85143823682

U2 - 10.1109/ICFEICT57213.2022.00022

DO - 10.1109/ICFEICT57213.2022.00022

M3 - 会议稿件

AN - SCOPUS:85143823682

T3 - Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022

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EP - 82

BT - Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022

Y2 - 19 August 2022 through 21 August 2022

ER -

Sheng H, Zhang X. Weak Target Detection with Information Geometry in Weather Clutter. In Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 77-82. (Proceedings - 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022). doi: 10.1109/ICFEICT57213.2022.00022

Weak Target Detection with Information Geometry in Weather Clutter

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