A Rollout Based Path Planner for Emitter Localization

This paper explores the problem of localizing an emitter with a mobile sensor platform using noisy bearing measurements. It is assumed, that the measuring procedure requires the platform to be stationary for a certain amount of time. Therefore, there exists a trade-off between using time to take one or more measurements and moving to a more advantageous position for observing a target. Using a rollout based algorithm we optimize the time necessary until a given localization accuracy is reached and compare the performance of this algorithm with several algorithms found in literature.