Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-22T16:31:10.506Z Has data issue: false hasContentIssue false
  • English
  • Français

The Complexity Problem in Future Multisensor Navigation and Positioning Systems: A Modular Solution

Published online by Cambridge University Press:  14 November 2013

Paul D. Groves
Paul D. Groves*
Affiliation:
(University College London, United Kingdom)
*
(E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Navigation and positioning system users are demanding greater accuracy and reliability in ever more challenging environments. This is driving a wave of rapid innovation, with the result that multisensor integrated navigation systems will become much more complex. This introduces a number of problems, including how to find the necessary expertise to integrate a diverse range of technologies, how to combine technologies from different organisations that wish to protect their intellectual property, and how to incorporate new navigation technologies and methods without having to redesign the whole system. It also makes it desirable to share development effort over a range of different applications. To address this, the feasibility of a modular approach to the design and development of multisensor integrated navigation and positioning systems is analysed. Assessments of the requirements of different user communities and the adaptability of the different navigation and positioning technologies to different contexts and requirements are presented. Based on this, the adoption of an open interface standard for modular integration is recommended and the issues to be resolved in developing that standard are outlined.

Keywords

Modular NavigationIntegrated NavigationMultisensor NavigationMultisensor Positioning
Type
Research Article
Information
The Journal of Navigation , Volume 67 , Issue 2 , March 2014 , pp. 311 - 326
Copyright
Copyright © The Royal Institute of Navigation 2013 

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

REFERENCES

Abdulrahim, K., Hide, C., Moore, T. and Hill, C. (2011). Aiding Low Cost Inertial Navigation with Building Heading for Pedestrian Navigation. The Journal of Navigation, 64, 219–233.CrossRefGoogle Scholar
DARPA (2010). Broad Agency Announcement: All-Source Positioning and Navigation (ASPN). Strategic Technology Office. DARPA-BAA-11-14.Google Scholar
El-Sheimy, N. and Goodall, C. (2011). Everywhere Navigation: Integrated Solutions on Consumer Mobile Devices. Inside GNSS, September/October 2011, 74–82.Google Scholar
Faragher, R. M., Sarno, C. and Newman, M. (2012). Opportunistic Radio SLAM for Indoor Navigation using Smartphone Sensors. Proceedings of IEEE/ION Position, Location, and Navigation Symposium, Myrtle Beach, SC.Google Scholar
Grejner-Brzezinska, D. A., Toth, C., Gupta, I. J., Li, L. and Wang, X. (2010). Challenged Positions: Dynamic Sensor Network, Distributed GPS Aperture, and Inter-nodal Ranging Signals. GPS World, September 2010, 35–42 and 56.Google Scholar
Groves, P. D. (2013a). Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition. Artech House, Boston, MA.Google Scholar
Groves, P. D. (2013b). The PNT Boom: Future Trends in Integrated Navigation. Inside GNSS, March/April 2013, 44–49.Google Scholar
Groves, P. D., Martin, H., Voutsis, K., Walter, D. and Wang, L. (2013c). Context Detection, Categorization and Connectivity for Advanced Adaptive Integrated Navigation. Proceedings of ION GNSS+ 2013, Nashville, TN.Google Scholar
Groves, P. D., Offer, C. R., Mather, C. J., Pulford, G. W., Ashokaraj, I. A. and Macaulay, A. A. (2008). Optimising the Algorithm Design for High-Integrity Relative Navigation using Carrier-phase Relative GPS Integrated with INS. Proceedings of ION GNSS 2008, Savannah, GA, 1323–1334.Google Scholar
Hide, C., Moore, T. and Hill, C. (2007). A Multi-Sensor Navigation Filter for High Accuracy Positioning in all Environments. The Journal of Navigation, 60, 409–425.Google Scholar
Kalliola, K. (2011). High Accuracy Indoor Positioning Based on BLE. Nokia Research Center Presentation.Google Scholar
Mathews, M. B., Macdoran, P. F. and Gold, K. L. (2011). SCP Enabled Navigation Using Signals of Opportunity in GPS Obstructed Environments. NAVIGATION, 58, 91–110.Google Scholar
Mattos, P. G. (2009). GNSS and eLORAN Tightly Coupled. Proceedings of ION GNSS 2009, Savannah, GA, 873–880.Google Scholar
Mattos, P. G. (2013). Markets and Multi-Frequency GNSS: What will limit the spread of multi-frequency GNSS receivers into the mass market? Inside GNSS, January/February 2012, 34–37.Google Scholar
Miller, M. M., Uijt de Haag, M., Soloviev, A., Veth, M. and Raquet, J. (2009). Navigating in Difficult Environments: Alternatives to GPS – 1 and 2. NATO Lecture Series RTO-EN-SET-116-2009 Low-Cost Navigation Sensors and Integration Technology.Google Scholar
Penn, T. R. (2012). All Source Sensor Integration Using an Extended Kalman Filter. Air Foce Institute of Technology.Google Scholar
Pullen, S., Walter, T. and Enge, P. (2011). Integrity for Non-Aviation Users: Moving Away from Specific Risk. GPS World, July 2011, 28–36.Google Scholar
Rife, J. and Pullen, S. (2009). Aviation Applications. In: Gleason, S. and Gebre-Egziabher, D. (eds) GNSS Applications and Methods, Artech House, Boston, MA, pp 245–267.Google Scholar
Rizos, C. and Grejner-Brzezinska, D. A. (2009). Geodesy and Surveying. In: Gleason, S. and Gebre-Egziabher, D. (eds) GNSS Applications and Methods, Artech House, Boston, MA, pp 347–380.Google Scholar
Shkel, A. M. (2011). Microtechnology Comes of Age. GPS World, September 2011, 43–50.Google Scholar
Shivaramaiah, N. C., and Dempster, A. G. (2011). Cognitive GNSS Receiver Design: Concept and Challenges. Proceedings of ION GNSS 2011, Portland, OR.Google Scholar
Shockley, J. A., and Raquet, J. F. (2012). Three-Axis Magnetometer Navigation in Suburban Areas. Proceedings of ION GNSS 2012, Nashville, TN.Google Scholar
Soloviev, A. and Yang, C. (2013). Reconfigurable Integration Filter Engine for Plug-and-Play Navigation. Proceedings of ION GNSS+ 2013, Nashville, TN.Google Scholar
Thomas, M., et al. (2011). Global Navigation Space Systems: Reliance and Vulnerabilities. Royal Academy of Engineering.Google Scholar
Walter, D. J., Groves, P. D., Mason, R. J., Harrison, J., Woodward, J., and Wright, P. (2013). Novel Environmental Features for Robust Multisensor Navigation. Proceedings of ION GNSS+ 2013, Nashville, TN.Google Scholar
Wang, L., Groves, P. D. and Ziebart, M. K. (2013). GNSS Shadow Matching: Improving Urban Positioning Accuracy Using a 3D City Model with Optimized Visibility Prediction Scoring. Accepted for publication in NAVIGATION, 60.Google Scholar
Whelan, D., Gutt, G. and Enge, P. (2011). Boeing Timing & Location: An Indoor Capable Time Transfer and Geolocation System. Proceedings of Fifth Stanford University Symposium on Position, Navigation, and Timing, Menlo Park, CA.Google Scholar
Wilson, A. M., Lowe, J. C., Roskilly, K., Hudson, P. E., Golabek, K. A. and McNutt, J. W. (2013). Locomotion Dynamics of Hunting in Wild Cheetahs. Nature, 498, 185–189.CrossRefGoogle ScholarPubMed