6533b85dfe1ef96bd12be5c4

RESEARCH PRODUCT

Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles

Matthias PatzoldBjørn Olav HogstadXabier Insausti

subject

Stationary processProperty (programming)Computer scienceGaussian010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science::RoboticsBackground noisesymbols.namesakeNoiseControl theory0202 electrical engineering electronic engineering information engineeringsymbolsSpike (software development)Active noise control

description

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.

yearjournalcountryeditionlanguage
2020-05-012020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
https://doi.org/10.1109/vtc2020-spring48590.2020.9128572