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Passive detection of moving aerial target based on multiple collaborative GPS satellites

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Liu, Mingqian, Gao, Zhiyang, Chen, Yunfei, Song, Hao, Li, Yuting and Gong, Fengkui (2020) Passive detection of moving aerial target based on multiple collaborative GPS satellites. Remote Sensing, 12 (2). e263. doi:10.3390/rs12020263

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Official URL: http://dx.doi.org/10.3390/rs12020263

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Abstract

Passive localization is an important part of intelligent surveillance in security and emergency applications. Nowadays, Global Navigation Satellite Systems (GNSSs) have been widely deployed. As a result, the satellite signal receiver may receive multiple GPS signals simultaneously, incurring echo signal detection failure. Therefore, in this paper, a passive method leveraging signals from multiple GPS satellites is proposed for moving aerial target detection. In passive detection, the first challenge is the interference caused by multiple GPS signals transmitted upon the same spectrum resources. To address this issue, successive interference cancellation (SIC) is utilized to separate and reconstruct multiple GPS signals on the reference channel. Moreover, on the monitoring channel, direct wave and multi-path interference are eliminated by extensive cancellation algorithm (ECA). After interference from multiple GPS signals is suppressed, the cycle cross ambiguity function (CCAF) of the signal on the monitoring channel is calculated and coordinate transformation method is adopted to map multiple groups of different time delay-Doppler spectrum into the distance−velocity spectrum. The detection statistics are calculated by the superposition of multiple groups of distance-velocity spectrum. Finally, the echo signal is detected based on a properly defined adaptive detection threshold. Simulation results demonstrate the effectiveness of our proposed method. They show that the detection probability of our proposed method can reach 99%, when the echo signal signal-to-noise ratio (SNR) is only −64 dB. Moreover, our proposed method can achieve 5 dB improvement over the detection method using a single GPS satellite.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Sensor networks, Global Positioning System, Artificial satellites in navigation, Signal detection, Artificial intelligence -- Engineering applications, Electronic surveillance -- Technological innovations
Journal or Publication Title: Remote Sensing
Publisher: M D P I AG
ISSN: 2072-4292
Official Date: 12 January 2020
Dates:
DateEvent
12 January 2020Published
9 January 2020Accepted
Date of first compliant deposit: 16 January 2020
Volume: 12
Number: 2
Article Number: e263
DOI: 10.3390/rs12020263
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: ** From MDPI via Jisc Publications Router ** History: accepted 09-01-2020; pub-electronic 12-01-2020. ** Licence for this article: https://creativecommons.org/licenses/by/4.0/
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
61501348[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61801363[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
2019GY-043Scientific Research Foundation of Shaanxi Provincial Key Laboratoryhttp://dx.doi.org/10.13039/501100012594
6141A02022338[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
2017M611912China Postdoctoral Science Foundationhttp://dx.doi.org/10.13039/501100002858
B08038Higher Education Discipline Innovation Projecthttp://dx.doi.org/10.13039/501100013314
201806965031China Scholarship Councilhttp://dx.doi.org/10.13039/501100004543
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