Dynamic multisensor resource management with increased sensor utility
Marcel L. Hernandez, Paul R. Horridge · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
In this paper, we build on an established framework for dynamic multi-sensor resource management. The framework is based on the control of the posterior Cramer-Rao lower bound, which provides a bound on the achievable accuracy of target state estimation. We further develop this framework to increase the utility of each sensor by deploying new sensors ahead of the target and in its path. The modified framework is demonstrated in the deployment and utilization of azimuth-only sensors in tracking a single target. Simulation results show that the enhanced strategy is able to accurately track the target while significantly reducing the number of sensors required. However this is at a cost of a significant increase in computation time which may make the technique unsuitable for some sensor management applications.