Constrained state estimation using noisy destination information

Tracking performance can be improved by the incorporation of a destination constraint. However, directly using available noise-corrupted destination information in the existing destination constrained filtering methods may lead to performance degradation. To address this limitation, in this paper, the true destination is also treated as a state to be estimated along with the target state. Then, the destination constraint information is …