37 citations · 54 across the 12 of their papers we have counts for
13 papers
Quantum diamond magnetometry for navigation in GNSS denied environments
Xuezhi Wang, Wenchao Li, Bill Moran +5
In this paper, a probabilistic method for map matching localisation based on magnetometery measurement and total magnetic intensity maps is described. We show that the method is ab…
Estimating and detecting random processes on the unit circle
Changrong Liu, S. Suvorova, R. J. Evans +2
The problem of detecting a sinusoidal signal with randomly varying frequency has a long history. It is one of the core problems in signal processing, arising in many applications i…
Gravity aided navigation using Viterbi map matching algorithm
Wenchao Li, Christopher Gilliam, Xuezhi Wang +3
In GNSS-denied environments, aiding a vehicle's inertial navigation system (INS) is crucial to reducing the accumulated navigation drift caused by sensor errors (e.g. bias and nois…
Probabilistic Map Matching for Robust Inertial Navigation Aiding
Xuezhi Wang, Christopher Gilliam, Allison Kealy +2
Robust aiding of inertial navigation systems in GNSS-denied environments is critical for the removal of accumulated navigation error caused by the drift and bias inherent in inerti…
Enhancing Inertial Navigation Performance via Fusion of Classical and Quantum Accelerometers
Xuezhi Wang, Allison Kealy, Christopher Gilliam +11
While quantum accelerometers sense with extremely low drift and low bias, their practical sensing capabilities face two limitations compared with classical accelerometers: a lower…
Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences
Vikram Krishnamurthy, Daniel Angley, Robin Evans +1
We consider an inverse reinforcement learning problem involving us versus an enemy radar equipped with a Bayesian tracker. By observing the emissions of the enemy radar,how can we…