Abstract The IEEE802.11p standard describes a protocol for car-to-X and mainly for car-to-car-communication. In the research project Ko-TAG, which is part of the research initiative Ko-FAS, cooperative sensor technology is developed for the support of highly autonomous driving. The Ko-TAG subsystem improves the real-time characteristics of IEEE802.11p needed for precise time of flight real-time localization while still fitting into the regulatory schemes. A secondary radar principle based on communication signals enables localization of objects with simultaneous data transmission. The Ko-TAG subsystem mainly concentrates on the support of traffic safety applications in intra-urban scenarios. This paper details on the development of a fully automated RF emulator used to test the Ko-TAG subsystem. The RF emulator includes the physical networking nodes, but models the RF environment using RF-waveguides. The RF emulator allows the controlling of path loss and connectivity between any of the nodes with the help of RF attenuators and programmable RF switches, while it is shielded against its surrounding RF environment in the lab. Therefore it is an inexpensive alternative to an RF absorber chamber, which often is not available or exceeds the project’s budget. Details about the system definition can be found in earlier papers. Test results are shown in the last part of the paper.
Automated RF Emulator for a Highly Scalable IEEE802.11p Communication and Localization Subsystem
Communication Technologies for Vehicles ; 1 ; 11-22
Lecture Notes in Computer Science ; 8435 , 1
2014-01-01
12 pages
Article/Chapter (Book)
Electronic Resource
English
Car-2-Car communication , Car-2-X communication , emulation , IEEE802.11p/WAVE , subsystem design , VRU eSafety , localization , real time , secondary surveillance radar , standardization Computer Science , Computer Communication Networks , Special Purpose and Application-Based Systems , System Performance and Evaluation
Automated RF Emulator for a Highly Scalable IEEE802.11p Communication and Localization Subsystem
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