Title:
Reactive Tuning of Target Estimate Accuracy in Multi-Sensor Data Fusion
Reactive Tuning of Target Estimate Accuracy in Multi-Sensor Data Fusion
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Author(s)
Xiong, Ning
Christensen, Henrik I.
Svensson, Per
Christensen, Henrik I.
Svensson, Per
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Abstract
Dealing with conflicting and target-specific requirements is an important
issue in multi-sensor and multi-target tracking. This paper aims to allocate sensing
resources among various targets in reaction to individual information requests. The
approach proposed is to introduce agents for every relevant target responsible for its
tracking. Such agents are expected to bargain with each other for a division of
resources. A bilateral negotiation model is established for resource allocation in two-target
tracking. The applications of agent negotiation to target covariance tuning are
illustrated together with simulation results presented. Moreover, we suggest a way of
organizing simultaneous one-to-one negotiations, making our negotiation model still
applicable in scenarios of tracking more than two targets.
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Date Issued
2007-01
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Text
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Pre-print