dc.contributor.author | Insausti, Xabier | |
dc.contributor.author | Hogstad, Bjørn Olav | |
dc.contributor.author | Pätzold, Matthias Uwe | |
dc.date.accessioned | 2021-09-09T08:18:09Z | |
dc.date.available | 2021-09-09T08:18:09Z | |
dc.date.created | 2020-07-16T16:17:08Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Vehicular Technology Conference (VTC). 2020, . | en_US |
dc.identifier.issn | 1090-3038 | |
dc.identifier.uri | https://hdl.handle.net/11250/2774839 | |
dc.description.abstract | In this paper, we develop a simulation model for the ego-noise of unmanned aerial vehicles (UAVs). The ego-noise is composed of spike noise and background noise. The spike noise is modelled by a finite sum of sinusoids, while the background noise is modelled by a coloured Gaussian stationary process. The main property of our model is that it only depends on physical characteristics of the UAV and it does not need real-time audio inputs to be developed. This model is very useful for training novel noise cancelling algorithms and for evaluating their performance. To validate the proposed model, we compare the statistical properties of the ego-noise simulated using our model with actual ego-noise measurements. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 5 | en_US |
dc.source.journal | IEEE Vehicular Technology Conference (VTC) | en_US |
dc.identifier.doi | 10.1109/VTC2020-Spring48590.2020.9128572 | |
dc.identifier.cristin | 1819633 | |
dc.relation.project | Norges forskningsråd: 261895 | en_US |
dc.description.localcode | This version of the article will not be available due to copyright restrictions (c) 2020 by IEEE | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |