Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctoral degree, Engineering and Technology, Tampere University of Technology
Award Date: 3 Dec 2014
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Dive into the research topics where Matti Raitoharju is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Kalman filtering with empirical noise models
Raitoharju, M., Nurminen, H., Cilden-Guler, D. & Särkkä, S., Jun 2021, Proceedings of International Conference on Localization and GNSS, ICL-GNSS 2021. Nurmi, J., Lohan, E-S., Torres-Sospedra, J., Kuusniemi, H. & Ometov, A. (eds.). IEEE, 7 p. 9452318Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Gaussian mixture models for signal mapping and positioning
Raitoharju, M., García-Fernández, Á. F., Hostettler, R., Piché, R. & Särkkä, S., 1 Mar 2020, In: Signal Processing. 168, 11 p., 107330.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access7 Citations (Scopus) -
Nanosatellite attitude estimation using Kalman-type filters with non-Gaussian noise
Cilden-Guler, D., Raitoharju, M., Piche, R. & Hajiyev, C., 1 Sep 2019, In: Aerospace Science and Technology. 92, p. 66-76 11 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access17 Citations (Scopus) -
On Computational Complexity Reduction Methods for Kalman Filter Extensions
Raitoharju, M. & Piché, R., 1 Oct 2019, In: IEEE Aerospace and Electronic Systems Magazine. 34, 10, p. 2-19 18 p., 8861457.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile13 Citations (Scopus)71 Downloads (Pure) -
Partitioned Update Binomial Gaussian Mixture Filter
Raitoharju, M., Garcia-Fernandez, A. F. & Sarkka, S., 1 Jul 2019, Proceedings of the 22nd International Conference on Information Fusion, FUSION 2019. IEEE, 8 p. 9011335Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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ADAFUME: Advanced data fusion methods for environmental modeling
Gao, R., Corenflos, A., Särkkä, S., Raitoharju, M., Merkatas, C., Sarmavuori, J. & Yaghoobi, F.
01/01/2020 → 31/12/2023
Project: Academy of Finland: Other research funding
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Probabilistic Deep Learning via Hierarchical Stochastic Partial Differential Equations
Hostettler, R., Karvonen, T., Särkkä, S., Bahrami Rad, A., Emzir, M., Gao, R., Sarmavuori, J., Raitoharju, M., Tronarp, F. & Purisha, Z.
01/01/2018 → 31/12/2019
Project: Academy of Finland: Other research funding
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Sequential Monte Carlo Methods for State and Parameter Estimation in Stochastic Dynamic Systems
Sarmavuori, J., Hostettler, R., Särkkä, S., Bahrami Rad, A., Karvonen, T., Suotsalo, K., Raitoharju, M. & Garcia Fernandez, A.
01/09/2016 → 31/08/2018
Project: Academy of Finland: Other research funding
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Crowdsourced mapping of the environment- multimodal real-time SLAM via combinedinertial, optical, and magnetic sensoring
Hostettler, R., Sarmavuori, J., Raitoharju, M., Karvonen, T., Särkkä, S., Tronarp, F. & Garcia Fernandez, A.
01/01/2016 → 31/12/2017
Project: Academy of Finland: Other research funding