Roland Hostettler
Senior Lecturer/Associate Professor at Department of Electrical Engineering; Signals and Systems
- Telephone:
- +46 18 471 32 65, +46 72 999 95 57
- Mobile phone:
- +46 72 999 95 57
- E-mail:
- roland.hostettler@angstrom.uu.se
- Visiting address:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
752 37 Uppsala - Postal address:
- Box 65
751 03 UPPSALA
Publications
Recent publications
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Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
Part of 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), 2025
- DOI for Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
- Download full text (pdf) of Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
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Fully Homomorphically Encrypted Linear Regression Using CKKS
Part of 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), 2025
- DOI for Fully Homomorphically Encrypted Linear Regression Using CKKS
- Download full text (pdf) of Fully Homomorphically Encrypted Linear Regression Using CKKS
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Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
Part of 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS), p. 980-991, 2025
- DOI for Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
- Download full text (pdf) of Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
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Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
Part of IEEE Transactions on Green Communications and Networking (ITGCN), p. 1564-1573, 2024
- DOI for Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
- Download full text (pdf) of Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
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Gaussian Processes for Received Signal Strength Based Device-free Localization
Part of 2024 18th European Conference on Antennas and Propagation (EuCAP), 2024
- DOI for Gaussian Processes for Received Signal Strength Based Device-free Localization
- Download full text (pdf) of Gaussian Processes for Received Signal Strength Based Device-free Localization
All publications
Articles in journal
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Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
Part of IEEE Transactions on Green Communications and Networking (ITGCN), p. 1564-1573, 2024
- DOI for Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
- Download full text (pdf) of Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors
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A virtual anti-scatter grid for multi-energy photon counting detector systems
Part of Physica Scripta, 2024
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A Multihypotheses Importance Density for SLAM in Cluttered Scenarios
Part of IEEE Transactions on robotics, p. 1019-1035, 2024
- DOI for A Multihypotheses Importance Density for SLAM in Cluttered Scenarios
- Download full text (pdf) of A Multihypotheses Importance Density for SLAM in Cluttered Scenarios
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Part of Frontiers in Control Engineering, 2022
- DOI for Automatic generation and updating of process industrial digital twins for estimation and control: A review
- Download full text (pdf) of Automatic generation and updating of process industrial digital twins for estimation and control: A review
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Guest Editorial: MLSP 2020 Special Issue
Part of Journal of Signal Processing Systems, p. 131-132, 2022
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Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering
Part of IEEE Transactions on Automatic Control, p. 4460-4467, 2021
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Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
Part of Sensors, 2021
- DOI for Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
- Download full text (pdf) of Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
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A Novel Bayesian Filter for RSS-Based Device-Free Localization and Tracking
Part of IEEE Transactions on Mobile Computing, p. 780-795, 2021
- DOI for A Novel Bayesian Filter for RSS-Based Device-Free Localization and Tracking
- Download full text (pdf) of A Novel Bayesian Filter for RSS-Based Device-Free Localization and Tracking
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Gaussian mixture models for signal mapping and positioning
Part of Signal Processing, 2020
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Importance Densities for Particle Filtering Using Iterated Conditional Expectations
Part of IEEE Signal Processing Letters, p. 211-215, 2020
Conference papers
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Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
Part of 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), 2025
- DOI for Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
- Download full text (pdf) of Optimal Distributed Kalman Filtering for Unequal State Vectors: Privacy and Computational Benefits
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Fully Homomorphically Encrypted Linear Regression Using CKKS
Part of 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC), 2025
- DOI for Fully Homomorphically Encrypted Linear Regression Using CKKS
- Download full text (pdf) of Fully Homomorphically Encrypted Linear Regression Using CKKS
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Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
Part of 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS), p. 980-991, 2025
- DOI for Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
- Download full text (pdf) of Heteroscedastic Gaussian Process Model for Received Signal Strength Based Device-Free Localization
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Gaussian Processes for Received Signal Strength Based Device-free Localization
Part of 2024 18th European Conference on Antennas and Propagation (EuCAP), 2024
- DOI for Gaussian Processes for Received Signal Strength Based Device-free Localization
- Download full text (pdf) of Gaussian Processes for Received Signal Strength Based Device-free Localization
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Towards Real-time Radio-SLAM via Optimal Importance Sampling
Part of 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022
- DOI for Towards Real-time Radio-SLAM via Optimal Importance Sampling
- Download full text (pdf) of Towards Real-time Radio-SLAM via Optimal Importance Sampling
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Posterior linearisation filter for non-linear state transformation noises
Part of 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022), 2022
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State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
Part of ICASSP 2020, p. 5295-5299, 2020
- DOI for State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
- Download full text (pdf) of State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
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Rejection-sampling-based ancestor sampling for particle Gibbs
Part of 29th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2019
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Auxiliary-Particle-Filter-based Two-Filter Smoothing for Wiener State-Space Models
Part of Proceedings of the 21st International Conference on Information Fusion, Cambridge, UK, July, 2018., p. 1904-1911, 2018