6 papers
On the Convergence of Belief Propagation for Multipath Data Association in Target Tracking
Kuilong Yang, Zengfu Wang, Hua Lan
Belief propagation (BP) is widely used for data association (DA) in target tracking. Existing convergence analyses of BP for DA address only the two-way correspondence between targ…
Change-Aware Self-Adaptive AI-Aided Kalman Filters With Neural Change Point Detection
Wenyi Zhang, Xiaoyong Ni, Nir Shlezinger +1
Reliable state estimation in dynamical systems is often challenged by model mismatches, unknown noise statistics, and temporal variations. While AI-aided Kalman filters such as Kal…
An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking
Yuhang Hao, Zengfu Wang, Jing Fu +1
In solving the non-myopic radar scheduling for multiple smart target tracking within an active and passive radar network, we need to consider both short-term enhanced tracking perf…
Joint State Estimation and Noise Identification Based on Variational Optimization
Hua Lan, Shijie Zhao, Jinjie Hu +2
In this article, the state estimation problems with unknown process noise and measurement noise covariances for both linear and nonlinear systems are considered. By formulating the…
Non-myopic Beam Scheduling for Multiple Smart Target Tracking in Phased Array Radar Network
Yuhang Hao, Zengfu Wang, José Niño-Mora +3
A smart target, also referred to as a reactive target, can take maneuvering motions to hinder radar tracking. We address beam scheduling for tracking multiple smart targets in phas…
Coordinated Multi-Agent Patrolling with State-Dependent Cost Rates: Asymptotically Optimal Policies for Large-Scale Systems
Jing Fu, Zengfu Wang, Jie Chen
We study a large-scale patrol problem with state-dependent costs and multi-agent coordination.We consider heterogeneous agents, rather general reward functions, and the capabilitie…