Next Article in Journal
An Adaptive Augmented Vision-Based Ellipsoidal SLAM for Indoor Environments
Next Article in Special Issue
Effect of Imperfections Due to Material Heterogeneity on the Offset of Polysilicon MEMS Structures
Previous Article in Journal
Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques
Previous Article in Special Issue
Evaluation of Machine Learning Algorithms for Surface Water Extraction in a Landsat 8 Scene of Nepal
Open AccessArticle

An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis

1
Grup de recerca en Tecnologies Mèdia (GTM), La Salle, Universitat Ramon Llull, c/Quatre Camins, 30, 08022 Barcelona, Spain
2
Wavecontrol, c/Pallars, 65-71, 08018 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2793; https://doi.org/10.3390/s19122793
Received: 28 April 2019 / Revised: 23 May 2019 / Accepted: 18 June 2019 / Published: 21 June 2019
The improvement of quality of life in the framework of the smart city paradigm cannot be limited to a set of objective measures carried out over several critical parameters (e.g., noise or air pollution). Noise disturbances depend not only on the equivalent level LAeq measured, but also on the spectral distribution of the sounds perceived by people. Propagation modelling to conduct auralization can be done either with geometrical acoustics or with wave-based methods, given the fact that urban environments are acoustically complex scenarios. In this work, we present a first analysis of the acoustic spectral distribution of street noise, based on the frequency selectivity of the urban outdoor channel and its corresponding coherence bandwidth. The analysis was conducted in the framework of the data collected in the Milan pilotWASN of the DYNAMAP LIFE project, with the use of three simulated acoustic impulse responses. The results show the clear influence of the evaluated coherence bandwidth of each of the simulated channels over real-life acoustic samples, which leads us to the conclusion that all raw acoustic samples have to be considered as wide-band. The results also depict a dependence of accumulated energy at the receiver with the coherence bandwidth of the channel. We conclude that, the higher the delay spread of the channel, the narrower the coherence bandwidth and the higher the distortion suffered by acoustic signals. Moreover, the accumulated energy of the received signal along the frequency axis tends to differ from the accumulated energy of the transmitted signal when facing narrow coherence bandwidth channels; whereas the accumulated energy along the time axis diverges from the accumulated transmitted energy when facing wide coherence bandwidth channels. View Full-Text
Keywords: noise; propagation model; frequency selectivity; acoustic channel; wideband; auralization; smartcity; impulse response; coherence bandwidth; wireless acoustic sensor network noise; propagation model; frequency selectivity; acoustic channel; wideband; auralization; smartcity; impulse response; coherence bandwidth; wireless acoustic sensor network
Show Figures

Figure 1

MDPI and ACS Style

Bergadà, P.; Alsina-Pagès, R.M. An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis. Sensors 2019, 19, 2793.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop