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Multi-Bernoulli Sensor-Control via Minimization of Expected Estimation Errors (1503.07276v1)
Published 25 Mar 2015 in cs.SY, cs.IT, and math.IT
Abstract: This paper presents a sensor-control method for choosing the best next state of the sensor(s), that provide(s) accurate estimation results in a multi-target tracking application. The proposed solution is formulated for a multi-Bernoulli filter and works via minimization of a new estimation error-based cost function. Simulation results demonstrate that the proposed method can outperform the state-of-the-art methods in terms of computation time and robustness to clutter while delivering similar accuracy.