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Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence | IEEE Conference Publication | IEEE Xplore

Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence


Abstract:

In this paper, we present an novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the ...Show More

Abstract:

In this paper, we present an novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the predicted and updated densities. The proposed approach is attractive in that the multi-target states are modeled as Poisson random finite sets (RFS) that allow the objective function to be calculated in closed form. Simulation results are presented to demonstrate the viability of the proposed approach.
Date of Conference: 02-05 December 2014
Date Added to IEEE Xplore: 26 January 2015
Electronic ISBN:978-1-4799-7204-3
Conference Location: Gwangju, Korea (South)

References

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