Algorithms for the Selection of the Active Sensors in Distributed Tracking: Comparison Between Frisbee and GNS Methods
ARMY RESEARCH LAB ADELPHI MD
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This paper compares two different approaches for sensor selection for distributed tracking 1 The Frisbee method, and 2 Global Node Selection GNS. The Frisbee method is based on the proximity of the nodes to the predicted location of the target GNS is based on minimizing the unbiased Cramer Rao lower bound CRLB. Both theoretical and experimental results indicate that the Frisbee method is as effective as GNS. Furthermore, the Frisbee method is attractive due to its very light computational load.
- Target Direction, Range and Position Finding