Rosa Ma Alsina-Pagès

Digital transmission techniques for a long haul HF link: DSSS versus OFDM

This paper presents two digital transmission techniques for long haul ionospheric links. Since 2003 we have studied the HF link between the Antarctic Spanish Base, Juan Carlos I, and Spain; and we have described the link in terms of availability, signal-to-noise ratio, and delay and Doppler power profile. Based on these previous studies we have developed a test bed to investigate two digital transmission techniques, i.e., Direct-Sequence Spread Spectrum (DSSS) and Orthogonal Frequency Division Multiplexing (OFDM), which can provide a low power, low-rate ionospheric data link from Antarctica. Symbol length, bandwidth, and constellation are some of the features that are analyzed in this work. Data gathered from the link throughout the 2010/2011 and 2011/2012 Antarctic surveys show that the spread spectrum techniques can be used to transmit data at low rate when the channel forecast is poor, but when the channel forecast is good multicarrier techniques can be used to transmit sporadic bursts of data at higher rate.

Design of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring

One of the main priorities of smart cities is improving the quality of life of their inhabitants. Traffic noise is one of the pollutant sources that causes a negative impact on the quality of life of citizens, which is gaining attention among authorities. The European Commission has promoted the Environmental Noise Directive 2002/49/EC (END) to inform citizens and to prevent the harmful effects of noise exposure. The measure of acoustic levels using noise maps is a strategic issue in the END action plan. Noise maps are typically calculated by computing the average noise during one year and updated every five years. Hence, the implementation of dynamic noise mapping systems could lead to short-term plan actions, besides helping to better understand the evolution of noise levels along time. Recently, some projects have started the monitoring of noise levels in urban areas by means of acoustic sensor networks settled in strategic locations across the city, while others have taken advantage of collaborative citizen sensing mobile applications. In this paper, we describe the design of an acoustic low-cost sensor network installed on public buses to measure the traffic noise in the city in real time. Moreover, the challenges that a ubiquitous bus acoustic measurement system entails are enumerated and discussed. Specifically, the analysis takes into account the feature extraction of the audio signal, the identification and separation of the road traffic noise from urban traffic noise, the hardware platform to measure and process the acoustic signal, the connectivity between the several nodes of the acoustic sensor network to store the data and, finally, the noise maps’ generation process. The implementation and evaluation of the proposal in a real-life scenario is left for future work.

Flexible Low-Cost SDR Platform for HF Communications: Near vertical incidence skywave preliminary results.

A new low-cost reconfigurable software-defined radio (SDR) platform for high-frequency (HF) applications is presented in this article. The platform can work in the entire HF band (3-30 MHz), with bandwidths up to 36 kHz. We present the preliminary results working in a near vertical incidence skywave (NVIS) communication, where only the frequency range 3- 12 MHz is needed. The modem has been designed so that the modulations to be used, time frames, and scheduling can be completely reprogrammable in both narrow-band and wide-band modes. This is a strong advantage, because tests can be redesigned and reprogrammed to evaluate channel performance, which is not only important for research purposes but also for its final application in emergency communications in the NVIS propagation case of study. The transmission can be adapted to the best propagation frequency at every moment by means of a previous sounding analysis.

Remote Acoustic Monitoring System for Noise Sensing

The concept of smart cities comprises a wide range of control and actuators systems aimed to improve the habitability and perception that citizens have of cities. A smart city covers many of these systems, ranging from applications that facilitate the governance of cities and encourage citizens’ participation to services focused on improving their quality of life. Among them, we can highlight those using Information and Communication Technologies (ICT) to improve the environment of the city. Besides deploying air quality monitoring systems, smart cities are beginning to include other ICT-based systems, such as the work in progress proposed in this paper, which is aimed to remotely monitor noise levels at different points of the city using the public bus system as mobile sensors network.

Detection of Anomalous Noise Events for Real-Time Road-Traffic Noise Mapping: The Dynamap’s project case study

Abstract Environmental noise is increasing year after year, especially in urban and suburban areas. Besides annoyance, environmental noise also causes harmful health effects on people. The Environmental Noise Directive 2002/49/EC (END) is the main instrument of the European Union to identify and combat noise pollution, followed by the CNOSSOS-EU methodological framework. In compliance with the END legislation, the European Member States are required to publish noise maps and action plans every five years. The emergence of Wireless Acoustic Sensor Networks (WASNs) have changed the paradigm to address the END regulatory requirements, allowing the dynamic ubiquitous measurement of environmental noise pollution. Following the END, the LIFE DYNAMAP project aims to develop a WASN-based low-cost noise mapping system to monitor the acoustic impact of road infrastructures in real time. Those acoustic events unrelated to regular traffic noise should be removed from the equivalent noise level calculations to avoid biasing the noise map generation. This work describes the different approaches developed within the DYNAMAP project to implement an Anomalous Noise Event Detector on the low-cost sensors of the network, considering both synthetic and real-life acoustic data.Moreover, the paper reflects on several open challenges, discussing how to tackle them for the future deployment of WASN-based noise monitoring systems in real-life operating conditions.

QPSK demodulation using cellular neural networks

We show how QPSK signals can be demodulated using a simple discrete time two neuron CNN, on real data of a long haul radio link to Antarctica.