Projection-based circular constrained state estimation and fusion over long-haul links

Conference · Sat Jul 01 00:00:00 EDT 2017

DOI:https://doi.org/10.23919/ICIF.2017.8009836· OSTI ID:1399534

Liu, Qiang  ^[1]; Rao, Nageswara S.  ^[1]

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1. ORNL

In this paper, we consider a scenario where sensors are deployed over a large geographical area for tracking a target with circular nonlinear constraints on its motion dynamics. The sensor state estimates are sent over long-haul networks to a remote fusion center for fusion. We are interested in different ways to incorporate the constraints into the estimation and fusion process in the presence of communication loss. In particular, we consider closed-form projection-based solutions, including rules for fusing the estimates and for incorporating the constraints, which jointly can guarantee timely fusion often required in realtime systems. We test the performance of these methods in the long-haul tracking environment using a simple example.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1399534
• Resource Relation: Conference: 20th International Conference on Information Fusion (FUSION) - Xi'an, , China - 7/10/2017 4:00:00 AM-7/13/2017 4:00:00 AM
• Country of Publication: United States
• Language: English