Xu Tang

TL;DR: It is established in this paper that, with certain reasonable assumptions, the proposed MD-PHD recursion can function as a generalized extended target PHD or multisensor PHD filter.

TL;DR: A multiple-detection ML-Pda (MD-ML-PDA) estimator that exploits the additional information available in all measurements by considering the combinatorial events of association that are formed from MD patterns and can effectively handle multiple target-originated measurements and yield improved track initialization performance over the traditional single detection ML- PDA.

TL;DR: An SSP-dependent ToF measurement model is derived for both the direct path and the surface-reflected path between two remote nodes, so that the SSP uncertainty can be addressed systematically.

TL;DR: In this paper, an improved algorithm named C-Clean is proposed to extract the target states from those particles by utilizing the information of both particles' weight and their spatial distribution, which is comprised of two steps, first, clustering techniques are used to exploit the spatial distribution of particles.

TL;DR: A novel algorithm to track multiple point targets and extended targets, simultaneously and seamlessly, in the presence of clutter and missed detections is proposed within the Probabilistic Multi-Hypothesis Tracker (PMHT) framework.