Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

Shang Shang; Kangning He; Zhaobin Wang; Xuguang Yang

doi:10.1155/2019/2450191

Journal of Electrical and Computer Engineering (Jan 2019)

Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

Shang Shang,
Kangning He,
Zhaobin Wang,
Xuguang Yang

Affiliations

Shang Shang: School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Kangning He: School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Zhaobin Wang: School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Xuguang Yang: School of Information Engineering, Long Dong University, Qingyang 745000, China

DOI: https://doi.org/10.1155/2019/2450191
Journal volume & issue: Vol. 2019

Abstract

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In HFSWR (high-frequency surface-wave radar) system, the detection performance is impacted seriously by ionospheric clutter. Frequency selection is an effective method to avoid the effect of ionospheric clutter. The key to the method is the stationarity of ionospheric clutter over a period of time. This paper mainly researches the stationary time statistical property of the ionospheric clutter. A large number of real data including ionospheric clutter in HFSWR are processed and analyzed. It shows that ionospheric clutter in HFSWR has the characteristics of approximate stationarity within a period of time.

Published in Journal of Electrical and Computer Engineering

ISSN: 2090-0147 (Print); 2090-0155 (Online)
Publisher: Wiley
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
Website: https://onlinelibrary.wiley.com/journal/1742

About the journal