31 citations · 44 across the 7 of their papers we have counts for
8 papers
Efficient low-thrust trajectory data generation based on generative adversarial network
Ruida Xie, Andrew G. Dempster
Deep learning-based techniques have been introduced into the field of trajectory optimization in recent years. Deep Neural Networks (DNNs) are trained and used as the surrogates of…
Feasible Low-thrust Trajectory Identification via a Deep Neural Network Classifier
Ruida Xie, Andrew G. Dempster
In recent years, deep learning techniques have been introduced into the field of trajectory optimization to improve convergence and speed. Training such models requires large traje…
Artificial Intelligence and Location Verification in Vehicular Networks
Ullah Ihsan, Ziqing Wang, Robert Malaney +2
Location information claimed by devices will play an ever-increasing role in future wireless networks such as 5G, the Internet of Things (IoT). Against this background, the verific…
Cross Correlation-based Direct Positioning for Wideband Sources using Phased Arrays
Joon Wayn Cheong, Andrew G Dempster
Recent developments in Phased Array direct positioning methods have improved accuracy for passively geo-locating multiple radio frequency-emitting signal sources. However, the numb…
Position and Velocity estimation of Re-entry Vehicles using Fast Unscented Kalman Filters
Sanat Biswas, Li Qiao, Andrew Dempster
Application of two new UKF based estimation techniques with reduced processing time in re-entry vehicle position and velocity estimation problem using ground-based range and elevat…
Computationally Efficient Unscented Kalman Filtering Techniques for Launch Vehicle Navigation using a Space-borne GPS Receiver
Sanat Biswas, Li Qiao, Andrew Dempster
The Extended Kalman Filter (EKF) is a well established technique for position and velocity estimation. However, the performance of the EKF degrades considerably in highly non-linea…
A Novel a priori State Computation Strategy for the Unscented Kalman Filter to Improve Computational Efficiency
Sanat Biswas, Li Qiao, Andrew Dempster
A priori state vector and error covariance computation for the Unscented Kalman Filter (UKF) is described. The original UKF propagates multiple sigma points to compute the a priori…
Adaptive Gray World-Based Color Normalization of Thin Blood Film Images
F. Boray Tek, Andrew G. Dempster, İzzet Kale
This paper presents an effective color normalization method for thin blood film images of peripheral blood specimens. Thin blood film images can easily be separated to foreground (…