Research output per year
Research output per year
Christian Pascal Hirsch, Ayush Bharti, Troels Pedersen, Rasmus Waagepetersen
Research output: Contribution to journal › Journal article › Research › peer-review
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 explain how the general statistical methodology is adapted and refined for the specific requirements and challenges of stochastic multipath channel models. Then, we illustrate the advantages and pitfalls of the method based on simulated data. Finally, we apply our calibration method to wideband signal data from indoor channels.
Original language | English |
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Article number | 9298915 |
Journal | I E E E Transactions on Antennas and Propagation |
Volume | 69 |
Issue number | 7 |
Pages (from-to) | 4058-4069 |
Number of pages | 12 |
ISSN | 0018-926X |
DOIs | |
Publication status | Published - 2021 |
Research output: PhD thesis