Data fusion and sensor management

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Authors
  1. Benameur, K.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
This report addresses the problem of data fusion and sensor management based on a synergistic use of the information provided by multiple sensors. In the first studied case, we deal with the problem of measurement strategy computation for a passive receiver. The basic problem is then to compute an optimal policy, during a specified observation time interval so that a prediction accuracy is optimized. It is shown that the optimal measurement policy can be precomputed before the measurements actually occur. The second case describes research work on the selection of a strategy of measurements for an active system and a passive one. The approach is based on selecting at each instant of time, a set of measurements provided by one or more sensors. Each sensor measurement has an associated cost. The basic problem is then to select an optimal measurement policy, during a specified receding horizon observation interval, so that a weighted combination of prediction accuracy and observation cost is optimized.

Il y a un résumé en français ici.

Keywords
Extended Kalman filtering;Sensor fusion;Robotics;Control systems
Report Number
DREO-TR-2001-146 — Technical Report
Date of publication
01 Dec 2001
Number of Pages
49
DSTKIM No
CA020915
CANDIS No
517644
Format(s):
Hardcopy;Document Image stored on Optical Disk

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