By Professor Andrew Dempster

Preprints

Gong T; Dempster A, 2025, Single-Satellite Navigation on Lunar North Pole, http://dx.doi.org/10.48550/arxiv.2504.03091

McKeown B; Dempster AG; Saydam S; Coulton JJ, 2024, The Space Resources Fund: A Solution to the Space Resources Benefit Sharing Dilemma?, http://dx.doi.org/10.2139/ssrn.4825418

Xie R; Dempster AG, 2022, Efficient low-thrust trajectory data generation based on generative adversarial network, http://dx.doi.org/10.48550/arxiv.2209.06427

Xie R; Dempster AG, 2022, Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier, http://dx.doi.org/10.48550/arxiv.2202.04962

Ihsan U; Wang Z; Malaney R; Dempster A; Yan S, 2019, Artificial Intelligence and Location Verification in Vehicular Networks, http://dx.doi.org/10.48550/arxiv.1901.03001

Cheong JW; Dempster AG, 2018, Cross Correlation-based Direct Positioning for Wideband Sources using Phased Arrays, http://dx.doi.org/10.48550/arxiv.1809.04207

Biswas S; Qiao L; Dempster A, 2016, Computationally Efficient Unscented Kalman Filtering Techniques for Launch Vehicle Navigation using a Space-borne GPS Receiver, http://dx.doi.org/10.48550/arxiv.1611.09701

Biswas S; Qiao L; Dempster A, 2016, A Novel a priori State Computation Strategy for the Unscented Kalman Filter to Improve Computational Efficiency, http://dx.doi.org/10.48550/arxiv.1608.05497

Tek FB; Dempster AG; Kale İ, 2016, Adaptive Gray World-Based Color Normalization of Thin Blood Film Images, http://dx.doi.org/10.48550/arxiv.1607.04032

Biswas S; Qiao L; Dempster A, 2016, Position and Velocity estimation of Re-entry Vehicles using Fast Unscented Kalman Filters

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