18 citations · 24 across the 6 of their papers we have counts for
6 papers
Label Hijacking in Track Consensus-Based Distributed Multi-Target Tracking
Helena Calatrava, Shuo Tang, Pau Closas
Distributed multi-target tracking (DMTT) in limited field-of-view (FoV) sensor networks commonly suffers from label inconsistency, whereby different nodes disagree on the identity…
Advances in Anti-Deception Jamming Strategies for Radar Systems: A Survey
Helena Calatrava, Shuo Tang, Pau Closas
Deception jamming has long been a significant threat to radar systems, interfering with search, acquisition, and tracking by introducing false information that diverts attention fr…
AI-Aided Kalman Filters
Nir Shlezinger, Guy Revach, Anubhab Ghosh +7
The Kalman filter (KF) and its variants are among the most celebrated algorithms in signal processing. These methods are used for state estimation of dynamic systems by relying on…
Continuously Optimizing Radar Placement with Model Predictive Path Integrals
Michael Potter, Shuo Tang, Paul Ghanem +8
Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in o…
Robust Interference Mitigation techniques for Direct Position Estimation
Haoqing Li, Shuo Tang, Peng Wu +1
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required. Conventiona…
On Parametric Misspecified Bayesian Cramér-Rao bound: An application to linear Gaussian systems
Shuo Tang, Gerald LaMountain, Tales Imbiriba +1
A lower bound is an important tool for predicting the performance that an estimator can achieve under a particular statistical model. Bayesian bounds are a kind of such bounds whic…