1 citations · 1 across the 5 of their papers we have counts for
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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…