The Library
Passive detection of moving aerial target based on multiple collaborative GPS satellites
Tools
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 ISSN 2072-4292.
|
PDF
WRAP-passive-detection-moving-aerial-target-satellites-Chen-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (3889Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/rs12020263
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 and Medicine > Engineering > 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: |
|
||||||||||||||||||||||||
Volume: | 12 | ||||||||||||||||||||||||
Number: | 2 | ||||||||||||||||||||||||
Article Number: | e263 | ||||||||||||||||||||||||
DOI: | 10.3390/rs12020263 | ||||||||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||||||||
Reuse Statement (publisher, data, author rights): | ** 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 (Creative Commons) | ||||||||||||||||||||||||
Date of first compliant deposit: | 16 January 2020 | ||||||||||||||||||||||||
Date of first compliant Open Access: | 28 January 2020 | ||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
|
||||||||||||||||||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year