Tutorial on multisensor management and fusion algorithms for target tracking

• Published in: 2004 American Control Conference Proceedings; Volume 5 of 6 Vol. 5; pp. 4734 - 4748 vol.5
• Main Authors: Kalandros, M.K., Trailovic, L., Pao, L.Y., Bar-Shalom, Y.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: Piscataway NJ IEEE 01.01.2004; Evanston IL American Automatic Control Council
• Subjects: Acoustic measurements; Applied sciences; Computer science; control theory; systems; Control theory. Systems; Electromagnetic measurements; Exact sciences and technology; Filtering; Measurement uncertainty; Modelling and identification; Radar measurements; Radar tracking; Sensor fusion; State estimation; Target tracking; Tutorial; Distributed processing; Target tracking; Multisensor; Moving target; Measurement sensor; Sensor fusion; Data fusion; Sensor array
• ISBN: 9780780383357; 0780383354
• ISSN: 0743-1619
• DOI: 10.23919/ACC.2004.1384060

This paper provides an introduction to sensor fusion techniques for target tracking. It presents an overview of common filtering techniques that are effective for moving targets as well as methods of overcoming problems specific to target tracking, such as measurement-to-track association and sensor registration. The computational demand of such algorithms is discussed and various practices, including distributed processing of target tracks and sensor management, are proposed to help reduce this demand. Final comments include a discussion of applications and implementation issues specific to the presented scenarios.