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Efficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools. For that reason, such systems have been developed to register and classify road traffic usage. In this paper, we propose a novel system for road traffic monitoring and classification based on highly energy efficient wireless magnetic sensor networks. We develop novel algorithms for vehicle speed and length estimation and vehicle classification that use multiple magnetic sensors. We also demonstrate that, using such a low-cost system with simplified installation and maintenance compared to current solutions, it is possible to achieve highly accurate estimation and a high rate of positive vehicle classification.

Two new multiple-antenna phase-gradient detection schemes for orbital angular momentum (OAM) communication systems are presented. Their bit error rate performances are obtained by means of Monte Carlo simulations. Results show that their performance is highly dependent on the circular separation among the receiver antennas. The paired-antenna phase-gradient receiver outperforms the uniformly spaced antenna receiver when a large number of antennas are used.

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