Multi-target tracking control using Continuous Double Auction Parameter Selection. - Alexander Charlish; Karl Woodbridge; Hugh D. Griffiths (FUSION, 2012)

On the decorrelated distributed Kalman filter under measurement origin uncertainty. - Felix Govaers; Alexander Charlish; Wolfgang Koch 001 (FUSION, 2012)

Towards an online, adaptive algorithm for radar surveillance control. - Fotios Katsilieris; Alexander Charlish; Yvo Boers (SDF, 2012)

Covariance debiasing for the Distributed Kalman Filter. - Felix Govaers; Alexander Charlish; Wolfgang Koch 001 (FUSION, 2013)

Online optimization of sensor trajectories for localization using TDOA measurements. - Regina Kaune; Alexander Charlish (FUSION, 2013)

An exact solution to track-to-track fusion using accumulated state densities. - Wolfgang Koch 001; Felix Govaers; Alexander Charlish (SDF, 2013)

Quality of service management for a multi-mission radar network. - Alexander Charlish; Roaldje Nadjiasngar (CAMSAP, 2015)

Phased array radar resource management using continuous double auction. - Alexander Charlish; Karl Woodbridge; Hugh D. Griffiths (IEEE Trans. Aerosp. Electron. Syst., 2015)

Trajectory optimization for multi-platform bearing-only tracking with ghosts. - Folker Hoffmann; Alexander Charlish; Wolfgang Koch 001 (FUSION, 2016)

Distinguishing Wanted and Unwanted Targets Using Point Processes. - Isabel Schlangen; Christoph Degen; Alexander Charlish (FUSION, 2018)

A Rollout Based Path Planner for Emitter Localization. - Folker Hoffmann; Hans Schily; Alexander Charlish; Matthew Ritchie; Hugh D. Griffiths (FUSION, 2019)

Sequential Monte Carlo Filtering with Long Short-Term Memory Prediction. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (FUSION, 2019)

Modelling, Learning and Prediction of Complex Radar Emitter Behaviour. - Sabine Apfeld; Alexander Charlish; Gerd Ascheid (ICMLA, 2019)

Passive emitter direction finding using a single antenna and compressed sensing. - Markus Krestel; Folker Hoffmann; Hans Schily; Alexander Charlish; Sven Rau (SDF, 2019)

Sensor Path Planning Using Reinforcement Learning. - Folker Hoffmann; Alexander Charlish; Matthew Ritchie; Hugh D. Griffiths (FUSION, 2020)

Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (FUSION, 2020)

A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (IEEE Signal Process. Lett., 2020)

Co-Training an Observer and an Evading Target. - André Brandenburger; Folker Hoffmann; Alexander Charlish (FUSION, 2021)

Policy Rollout Action Selection with Knowledge Gradient for Sensor Path Planning. - Thore Gerlach; Folker Hoffmann; Alexander Charlish (FUSION, 2021)

Ensembles of Long Short-Term Memory Experts for Streaming Data with Sudden Concept Drift. - Sabine Apfeld; Alexander Charlish; Gerd Ascheid (ICMLA, 2021)

Recognition of Unknown Radar Emitters With Machine Learning. - Sabine Apfeld; Alexander Charlish (IEEE Trans. Aerosp. Electron. Syst., 2021)

Policy Rollout Action Selection in Continuous Domains for Sensor Path Planning. - Folker Hoffmann; Alexander Charlish; Matthew Ritchie; Hugh D. Griffiths (IEEE Trans. Aerosp. Electron. Syst., 2021)

Learning IMM Filter Parameters from Measurements using Gradient Descent. - André Brandenburger; Folker Hoffmann; Alexander Charlish (FUSION, 2023)

Non-myopic Sensor Path Planning for Emitter Localization with a UAV. - Folker Hoffmann; Hans Schily; Markus Krestel; Alexander Charlish; Matthew Ritchie; Hugh D. Griffiths (FUSION, 2023)

Investigating the effect of variable UAV altitude control on emitter localization. - Marcel Kurz; Folker Hoffmann; André Brandenburger; Alexander Charlish (FUSION, 2024)