2024 : 4 : 13
Abolghasem Daeichian

Abolghasem Daeichian

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0002-6318-579X
Education: PhD.
ScopusId: 55916844500
Faculty: Engineering
Address: Arak University
Phone: 08632625436


Modified covariance intersection for data fusion in distributed nonhomogeneous monitoring systems network
covariance intersection, data fusion, game theory, target detection and tracking
Journal International Journal of Robust and Nonlinear Control
Researchers Abolghasem Daeichian ، Elham Honarvar


Monitoring networks contain monitoring nodes that observe an area of interest to detect any possible existing object and estimate its states. Each node has characteristics such as probability of detection and clutter density that may have different values for distinct nodes in nonhomogeneous monitoring networks. This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model between neighbor monitoring nodes as players and considering the inverse of the trace of fused covariance matrix as players' utility function. Monitoring nodes estimate the states of any possible existing object by applying joint target detection and tracking filter on their own observations. Processing nodes fuse the estimated states received from neighbor monitoring nodes by the proposed modified covariance intersection. It is validated by simulating target detection and tracking problem in 2 situations: 1 target and unknown number of targets