Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-25T05:10:25.640Z Has data issue: false hasContentIssue false
  • English
  • Français

Ranging technology using signals of opportunity of non-cooperative communication satellites

Published online by Cambridge University Press:  01 December 2020

Yuanyuan Gao Open the ORCID record for Yuanyuan Gao [Opens in a new window] ,
Yu Hua ,
Yu Xiang ,
Changjiang Huang ,
Shanhe Wang  and
Xian Zhao
Yuanyuan Gao*
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China.
Yu Hua
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China.
Yu Xiang
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China.
Changjiang Huang
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China.
Shanhe Wang
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China. University of Chinese Academy of Sciences, Beijing, China
Xian Zhao
Affiliation:
National Time Service Center, Chinese Academy of Sciences, Xi'an, China. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an, China.
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The positioning technique employing the ubiquitous signals of opportunity of non-cooperative satellites does not send special navigation signals, instead it passively receives satellite signals as noise, presenting advantages of concealment and difficulty for potential attackers. Thus, this study investigates the ranging principle and model using non-cooperative communication satellites and a time difference estimation algorithm. The technology of time difference measurement under non-cooperative observation mode was determined and simulated. A test platform for time difference measurement was built to receive the signal from an unknown geostationary Earth orbit communication satellite and verify the ranging feasibility and performance. The ranging accuracy was found to be smaller than 6 m, as demonstrated by experimental data, which shows the viability of the proposed positioning technique for ranging technology.

Keywords

navigation via signals of opportunity (NAVSOP)very long baseline interferometry (VLBI)passive radar detectiontime difference measurement
Type
Research Article
Information
The Journal of Navigation , Volume 74 , Issue 2 , March 2021 , pp. 488 - 500
Check for updates
Copyright
Copyright © The Royal Institute of Navigation 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Dandawatr, A. V. and Giannakis, G. B. (1993). Differential delay-Doppler estimation using second and higher order ambiguity functions. IEEE Proceedings F, Radar and Signal Processing, 140, 410–418.CrossRefGoogle Scholar
Deller, A. T. (2009). Precision VLBI Astrometry: Instrumentation, Algorithms and Pulsar Parallax Determination. Melbourne: Swinburne University of Technology.Google Scholar
Farina, A. and Kuschel, H. (2012). Guest editorial special issue on passive radar (part I). IEEE Aerospace and Electronic Systems Magazine, 27, 5–5.CrossRefGoogle Scholar
Fisher, K. A. and Racquet, J. F. (2011). Precision position, navigation, and timing without the global positioning system. Air & Space Power Journal, 25, 45–52.Google Scholar
Fowler, M. L. and Hu, X. (2008). Signal models for TDOA/FDOA estimation. IEEE Transactions on Aerospace and Electronic Systems, 44, 1543–1550.CrossRefGoogle Scholar
Gao, Y. Y. (2018). Passive Positioning Method and Key Techniques Based on Time Difference Measurement of Non-Cooperative Satellite Signals. Beijing: University of Chinese Academy of Sciences.Google Scholar
Gardner, W. A. and Chen, C. K. (1992). Signal-selective time-difference-of-arrival estimation for passive location of man-made signal sources in highly corruptive environments, part i: theory and method. IEEE Transactions on Signal Processing, 40, 1168–1184.CrossRefGoogle Scholar
Kim, D. G., Park, G. H., Kim, H. N., Park, J. O., Park, Y. M. and Shin, W. H. (2018). Computationally efficient TDOA/FDOA estimation for unknown communication signals in electronic warfare systems. IEEE Transactions on Aerospace and Electronic Systems, 54, 77–89.CrossRefGoogle Scholar
Kuschel, H., Hoffmann, F. and Schroeder, A. (2017). Novel Radar Techniques and Applications: Volume 1 : Multi-illuminator and Multistatic Passive Radar [M]. Edison, NJ, USA: SciTech Publishing.Google Scholar
Li, J. (2013). New technologies developed for promoting PNT capability in GPS denial environment. Journal of Navigation and Positioning, 1, 55–59.Google Scholar
Li, S. F. (2015). Study on the Methods and Techniques of ELoran Signal Received. Beijing: University of Chinese Academy of Sciences.Google Scholar
Martin, R. K., Velotta, J. S. and Raquet, J. F. (2009). Bandwidth efficient cooperative TDOA computation for multicarrier signals of opportunity. IEEE Transactions on Signal Processing, 57, 2311–2322.CrossRefGoogle Scholar
Merry, L. A., Faragher, R. M. and Scheding, S. (2010). Comparison of Opportunistic Signals for Location. Proceedings of the 7th IFAC Symposium on Intelligent Autonomous Vehicles, Lecce, Italy.Google Scholar
Moghtadaiee, V., Lim, S. and Dempster, A. G. (2010). System Level Considerations for Signal-of-Opportunity Positioning. 2010 International Symposium on GPS/GNSS, Taipei, Taiwan.Google Scholar
Qi, G. R. (2006). Fundamentals of Time Science [M]. Beijing: Higher Education Press.Google Scholar
Racquet, J. and Martin, R. K. (2008). Non-GNSS Radio Frequency Navigation. IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, USA.CrossRefGoogle Scholar
Robinson, M. (2012). Topological localization via signals of opportunity. IEEE Transactions on Signal Processing, 60, 2362–2373.CrossRefGoogle Scholar
Stein, S. (1981). Algorithms for ambiguity function processing. IEEE Transactions on Acoustics, Speech, and Signal Processing, 29, 588–599.CrossRefGoogle Scholar
Tornatore, V. and Haas, R. (2009). Considerations on the Observation of GNSS-Signals with the VLBI2010 System. Proceedings of the 19th European VLBI for Geodesy and Astrometry Working Meeting, Bordeaux, France.Google Scholar
Xie, G. (2009). Principles of GPS and Receiver Design [M]. Beijing: Publishing House of Electronics Industry.Google Scholar
Yang, C., Nguyen, T. and Blasch, E. (2014). Mobile Positioning via Fusion of Mixed Signals of Opportunity. IEEE Aerospace & Electronics Systems Magazine, 29, 34–46.CrossRefGoogle Scholar
Yang, N. H., Liu, C. B. and Yang, Z. (2017). Analysis on GPS navigation warfare technologies. Space International, 12, 4–8.Google Scholar
Yang, Y. (2015). Research on the Designment of Wideband VLBI System and Its Applications. Beijing: University of Chinese Academy of Sciences.Google Scholar
Zuo, Z. Y., Qiao, X. and Wu, Y. B. (2019). Concepts of Comprehensive PNT and Related Key Technologies. International Conference on Modeling, Analysis, Simulation Technologies and Applications, Hangzhou, China.CrossRefGoogle Scholar