Multi-bernoulli sensor control via minimization of expected estimation errors


This paper presents a sensor-control method for choosing the simplest next state of the sensors that provide correct estimation leads to a multitarget tracking application. The proposed resolution is formulated for a multi-Bernoulli filter and works via minimization of a replacement estimation-error-based mostly value perform. Simulation results demonstrate that the proposed method will outperform the state-of-the-art methods in terms of computation time and robustness to clutter whereas delivering similar accuracy.

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