| Περίληψη: | In latest years, wireless communications are becoming more and more important in people’s everyday lives, and it’s one of the fastest growing areas standalone in the communications field and as an overall subject in general technology. Wireless local area networks (WLANS) have been introduced since more than fifteen years, mobile phones, bluetooth devices, satellite television broadcasting and more recently, IoT devices are some of its perks that are widely used every day, becoming fundamental in modern societies. Vehicular communications are an important part of present and future intelligent transport systems (ITS). A stable wireless connection between vehicles, can enhance major aspects of safety in road, and can also be applied in scenarios such as traffic control, collision detection and avoidance. These applications have already been developed in the recent past, and are considered critical for the long term future. The number of vehicles on the road keeps increasing, which results in more collisions, and therefore inter-vehicle communications is an important factor for safety on the road. In this thesis, we study the issues related to the channel estimation in time-varyingfrequency-selective channels, which are the most effective channel models to describe a vehicular environment. We emphasise the concept of the iterative receiver, providing low latency solutions paired with dynamic channel estimation, an important factor in vehicular channels. The IEEE 802.11-2016 standard is being utilised, operating in the 5.850–5.925 GHz band, with 10 MHz channel spacing. In addition, IEEE 802.11-2016 specifications are used for MATLAB simulations. These simulations include different communication scenarios, such as vehicle-to-vehicle communication in a highway or in urban areas, or vehicle-to-infrastructure communication. Lastly, the simulated system is optimised and synthesised in high level synthesis environment (HLS), implemented on Zynq Ultrascale+ ZCU104 evaluation board and verified.
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