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

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 <i>L<sub>Aeq</sub>...

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Main Authors: Pau Bergadà, Rosa Ma Alsina-Pagès
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/12/2793
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author Pau Bergadà
Rosa Ma Alsina-Pagès
author_facet Pau Bergadà
Rosa Ma Alsina-Pagès
author_sort Pau Bergadà
collection DOAJ
description 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 <i>L<sub>Aeq</sub></i> 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.
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spelling doaj.art-8c272908f19d48c3821d52a367a2beb52022-12-22T04:20:07ZengMDPI AGSensors1424-82202019-06-011912279310.3390/s19122793s19122793An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel AnalysisPau Bergadà0Rosa Ma Alsina-Pagès1Grup de recerca en Tecnologies Mèdia (GTM), La Salle, Universitat Ramon Llull, c/Quatre Camins, 30, 08022 Barcelona, SpainGrup de recerca en Tecnologies Mèdia (GTM), La Salle, Universitat Ramon Llull, c/Quatre Camins, 30, 08022 Barcelona, SpainThe 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 <i>L<sub>Aeq</sub></i> 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.https://www.mdpi.com/1424-8220/19/12/2793noisepropagation modelfrequency selectivityacoustic channelwidebandauralizationsmartcityimpulse responsecoherence bandwidthwireless acoustic sensor network
spellingShingle Pau Bergadà
Rosa Ma Alsina-Pagès
An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
Sensors
noise
propagation model
frequency selectivity
acoustic channel
wideband
auralization
smartcity
impulse response
coherence bandwidth
wireless acoustic sensor network
title An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
title_full An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
title_fullStr An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
title_full_unstemmed An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
title_short An Approach to Frequency Selectivity in an Urban Environment by Means of Multi-Path Acoustic Channel Analysis
title_sort approach to frequency selectivity in an urban environment by means of multi path acoustic channel analysis
topic noise
propagation model
frequency selectivity
acoustic channel
wideband
auralization
smartcity
impulse response
coherence bandwidth
wireless acoustic sensor network
url https://www.mdpi.com/1424-8220/19/12/2793
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