Scholarly record
MICRO AND NANO MULTISENSOR DATA FUSION FOR NAVIGATION APPLICATIONS: A REVIEW
Abstract
In this paper we emphasize the main methods of data fusion with potential applications in navigation systems with micro and nano sensors. In the introduction are outlined some basic features of data fusion process. Further the work is st ructured as it follows: 2) Architectures for sensor data fusion, 3) M odels for sensor data fusion; 4) Sensor data fusion methods, 5) Sensor management. At the point 2 of this paper are presented information regarding different types of data fusion architectures, and also the criteria used for classifying these architectures. In section 3 are reviewed, analyzed and compared several models of data fusion, while section 4 analyzed the unified estimation fusion methods. In section 5 was made a st udy in terms of sensor management and information exchange between them in th e idea of increasing f unctionality and also increasing the degrees of autonomy, reconf iguration and redundancy for system based on sensor networks.
Publication Impact Profile
- Captures
- Mendeley - Readers: 3
Publication details
References7
Raol J. R. Multi-sensor data fusion with MATLAB, CRC Press, Taylor & Francis Group, 2010.
Hall D.L. & Llinas J. Handbook of Multisensor Data Fusion, CRC Press LLC, 2001.
Hall D.L. & Llinas J. An Introduction to Multisensor Data Fusion, Proceedings of the IEEE, Vol. 85, No. 1, January 1997.
Das H. High-level data fusion, Artech House, 2008.
Kalandros M.K., Trailovic L., Pao L.Y. & Bar-Shalom Y. Tutorial on Multisensor Management and Fusion Algorithms for Target Tracking, Proceeding of the 2004 American Control Conference, Boston, Massachusetts June 30 - July 2, 2004.
Chen B. & Varshney P.K. A Bayesian Sample Approach to Decision Fusion using Hierarchical Models, IEEE Transactions on Signal Processing, Vol. 50, No. 8, August
Viswanathan R. & Varshney P.K. Distributed Detection with Multiple Sensors: Part I – Fundamentals, Proceedings of the IEEE, Vol. 85, No. 1, January 1997.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.