Abstract
A real-time moving ant estimator (RMAE) is developed for the bearings-only target tracking, in which ants located at their individual current state utilize the normalized weight and pheromone value to select the one-step prediction state and the dynamic moving velocity of each ant is depended directly on the normalized weights between two states. Besides this, two pheromone update strategy is implemented. Numerical simulations indicate that the RMAE could estimate adaptively the state of maneuvering or non-maneuvering target, and real-time requirement is superior to the moving ant estimator (MAE). © 2010 Springer-Verlag.
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Zhu, J., Xu, B., Wang, F., & Wang, Z. (2010). A real-time moving ant estimator for bearings-only tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6145 LNCS, pp. 273–280). https://doi.org/10.1007/978-3-642-13495-1_34
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