Title :
A Bayesian network sensor manager for heterogeneous radar suites
Author :
Demircioglu, Erdem ; Osadciw, Lisa Ann
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Abstract :
In this paper, Bayesian networks are presented as an approach to reduce the decision uncertainty associated with selecting sensor operating parameters of a heterogeneous radar fusion system. In a dynamic real-time radar scenario, the situation can vary rapidly, and sensors fail. Particular actions must be taken quickly. Bayesian networks are well suited for these scenarios. The simulation results show that Bayesian networks can be used to adjust the required performance goals upon which sensor operating parameters are selected.
Keywords :
belief networks; radar signal processing; sensor fusion; Bayesian network; heterogeneous radar fusion system; sensor operating parameter; Automatic control; Bayesian methods; Control systems; Multisensor systems; Radar tracking; Sensor fusion; Sensor systems; Signal processing; State estimation; Target tracking;
Conference_Titel :
Radar, 2006 IEEE Conference on
Print_ISBN :
0-7803-9496-8
DOI :
10.1109/RADAR.2006.1631812