Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Troels Pedersen"'
Autor:
Yang Miao, Emmeric Tanghe, Jun-Ichi Takada, Troels Pedersen, Pierre Laly, Davy P. Gaillot, Martine Lienard, Luc Martens, Wout Joseph
Publikováno v:
IEEE Access, Vol 8, Pp 3738-3750 (2020)
This paper explores the feasibility of using the multiple-input multiple-output (MIMO) radio channel properties to passively detect and localize multiple humans in indoor environments. We propose to utilize the unique reverberation characteristics of
Externí odkaz:
https://doaj.org/article/edb200e7d6174dd593c624a93e78b8e4
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 1, Pp 175-188 (2020)
Estimating parameters of stochastic radio channel models based on new measurement data is an arduous task usually involving multiple steps such as multipath extraction and clustering. We propose two different machine learning methods, one based on ap
Externí odkaz:
https://doaj.org/article/d53313e73be745348c083f8f988825c5
Publikováno v:
Hirsch, C, Bharti, A, Pedersen, T & Waagepetersen, R 2023, ' Bayesian Inference for Stochastic Multipath Radio Channel Models ', IEEE Transactions on Antennas and Propagation, vol. 71, no. 4, pp. 3460-3472 . https://doi.org/10.1109/TAP.2022.3215820
Publisher Copyright: Author Stochastic radio channel models based on underlying point processes of multipath components have been studied intensively since the seminal papers of Turin and Saleh-Valenzuela. Despite of this, inference regarding paramet
Publikováno v:
Svane, R, Pedersen, T, Hirschberg, C & Rantanen, J 2021, ' Rapid Prototyping of Miniaturized Powder Mixing Geometries ', Journal of Pharmaceutical Sciences, vol. 110, no. 7, pp. 2625-2628 . https://doi.org/10.1016/j.xphs.2021.03.019
Continuous manufacturing is an important element of future manufacturing solutions enabling for both high product quality and streamlined development process. The increasing possibilities with computer simulations allow for innovating novel mixing pr
Publikováno v:
Hirsch, C P, Bharti, A, Pedersen, T & Waagepetersen, R 2021, ' Maximum likelihood calibration of stochastic multipath radio channel models ', I E E E Transactions on Antennas and Propagation, vol. 69, no. 7, 9298915, pp. 4058-4069 . https://doi.org/10.1109/TAP.2020.3044379
IEEE Transactions on Antennas and Propagation, 69(7):9298915, 4058-4069
Aalborg University
Hirsch, C P, Bharti, A, Pedersen, T & Waagepetersen, R 2020, ' Maximum likelihood calibration of stochastic multipath radio channel models ', Paper presented at 12TH TM (2020), Louvian-la-Neue, Belgium, 27/01/2020-29/01/2020 .
IEEE Transactions on Antennas and Propagation, 69(7):9298915, 4058-4069
Aalborg University
Hirsch, C P, Bharti, A, Pedersen, T & Waagepetersen, R 2020, ' Maximum likelihood calibration of stochastic multipath radio channel models ', Paper presented at 12TH TM (2020), Louvian-la-Neue, Belgium, 27/01/2020-29/01/2020 .
We propose Monte Carlo maximum likelihood estimation as a novel approach in the context of calibration and selection of stochastic channel models. First, considering a Turin channel model with inhomogeneous arrival rate as a prototypical example, we
Publikováno v:
Bharti, A, Briol, F-X & Pedersen, T 2022, ' A General Method for Calibrating Stochastic Radio Channel Models with Kernels ', I E E E Transactions on Antennas and Propagation, vol. 70, no. 6, pp. 3986-4001 . https://doi.org/10.1109/TAP.2021.3083761
Publisher Copyright: CCBY Calibrating stochastic radio channel models to new measurement data is challenging when the likelihood function is intractable. The standard approach to this problem involves sophisticated algorithms for extraction and clust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411ed3018e3679b7b77c33449e40c812
https://vbn.aau.dk/ws/files/411061743/Kernel_based_ABC_for_Model_Calibration.pdf
https://vbn.aau.dk/ws/files/411061743/Kernel_based_ABC_for_Model_Calibration.pdf
Publikováno v:
Bruun, R, Voulgaris, K & Pedersen, T 2022, Connectivity Model for Mobile Ad-Hoc Networks . in 2022 16th European Conference on Antennas and Propagation (EuCAP) ., 9769349, IEEE, 16th European Conference on Antennas and Propagation, EuCAP 2022, Madrid, Spain, 27/03/2022 . https://doi.org/10.23919/EuCAP53622.2022.9769349
We propose a probabilistic connectivity model suitable for imitating link connectivity in large mobile ad hoc networks. The model is based on a two state Markov chain and captures the vital aspects that successive connectivity states exhibits depende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c0c716b46d951adfb4c30da61e3094
https://vbn.aau.dk/ws/files/513057269/ConnectivityModel.pdf
https://vbn.aau.dk/ws/files/513057269/ConnectivityModel.pdf
Autor:
Anssi-Pekka Karttunen, Troels Pedersen, Erik Skibsted, Jukka Rantanen, Jian Xiong Wu, Kaisa Naelapää, Ossi Korhonen
Publikováno v:
Journal of Pharmaceutical Sciences. 110:1259-1269
Successful implementation of continuous manufacturing processes requires robust methods to assess and control product quality in a real-time mode. In this study, the residence time distribution of a continuous powder mixing process was investigated v
Publikováno v:
Prüller, R, Pedersen, T & Rupp, M 2022, An Empirical Lower Bound on Singular Value Ratios for MIMO LOS Links . in 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022 ., 10002499, IEEE, IEEE Conference on Antenna Measurements and Applications, CAMA, vol. 2022-December, 2022 IEEE Conference on Antenna Measurements and Applications, CAMA 2022, Guangzhou, China, 14/12/2022 . https://doi.org/10.1109/CAMA56352.2022.10002499
We investigate ratios of singular values of wireless multiple input multiple output (MIMO) channel matrices. Under certain practically feasible assumptions, we can find expressions that serve as a lower bound for these singular value ratios (SVRs) fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::939ff5d7aa8e3ac232fe65ceb43d4b18
https://vbn.aau.dk/da/publications/a4b573a8-9696-46e5-a7fd-04cf40e9cea2
https://vbn.aau.dk/da/publications/a4b573a8-9696-46e5-a7fd-04cf40e9cea2
Publikováno v:
Miao, Y, Pedersen, T, Gan, M, Vinogradov, E & Oestges, C 2019, ' Reverberant Room-to-Room Radio Channel Prediction by Using Rays and Graphs ', I E E E Transactions on Antennas and Propagation, vol. 67, no. 1, 8509595, pp. 484-494 . https://doi.org/10.1109/TAP.2018.2878088
IEEE Transactions on Antennas and Propagation, p. 1-1 (2018)
IEEE Transactions on Antennas and Propagation, p. 1-1 (2018)
This paper proposes a hybrid modeling approach for the prediction of the room-to-room radio propagation channel. The model combines ray tracing (RT) with the propagation graph (PG). The PG vertices are obtained at each room by RT with the assumption