28 research outputs found

    Spherical Harmonic Theory Investigations for Spherical Antenna Arrays

    No full text
    Low Earth Orbit satellite communications can be significantly improved by the omni-directional beamscanning ability of the spherical antenna arrays. The signal processing of spherical antenna arrays is essentially enhanced by employing spherical harmonic theory. Spherical harmonics (or spherical modes) exploit sphere's perfect symmetry and demonstrate the feature to 'reproduce' themselves in the farfield. First, this paper justifies the cost and performance superiority of the spherical arrays compared to the planar case. In addition, it presents several spherical array investigations that utilize spherical harmonic theory, offering substantial enhancement and simplifying the computational level of the array processing

    Hybrid Multi-Antenna Techniques for V2X Communications—Prototyping and Experimentation

    No full text
    The support of the connected vehicle-to-everything (V2X) vision in conjunction with intelligent transportation system applications and services constitute a major 5G objective for modern radio systems and networks. More particularly, 5G deployment will involve multiple radio access network (RAN) technologies and a massive machine-type communication environment, offering a simultaneously supported variety of broadcast, multicast, and unicast applications. In this article, we present an implementation of a diversity engine able to support the multi-objective, multi-RAN, multi-service V2X use cases. The engine is enhanced with the adoption of a hybrid diversity scheme that exploits the beamshaping capabilities of the reconfigurable electronically switched parasitic array radiator (ESPAR) antennas. The hybrid scheme combines conventional maximal ratio combining with beamspace diversity and it improves system performance in terms of reliability and throughput with increased signal-to-noise ratio. It was implemented and demonstrated with integration of novel printed antennas on connected, vehicle-to-vehicle (V2V)-enabled trucks in the context of the Horizon 2020 project ROADART
    corecore