Published 2006
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Algorithms for the selection of the active sensors in distributed tracking: Comparison between Frisbee and GNS methods
- Creators
- Capponi, A.
- Pilotto, C.
- Golino, G.
- Farina, A.
- Kaplan, L.
Abstract
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.
Additional Information
© IEEE. Issue Date: 10-13 July 2006. Date of Current Version: 12 February 2007. The views and conclusions contained in this document are those of the authors and should not be interpreted as presenting the official policies either express or implied of the Army Research Laboratory or the U. S. Government.Attached Files
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Additional details
- Eprint ID
- 22672
- Resolver ID
- CaltechAUTHORS:20110304-152534058
- Created
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2011-03-07Created from EPrint's datestamp field
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2021-11-09Created from EPrint's last_modified field
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- 9273917