Measurements and simulations for validation of the random-LOS measurement accuracy for vehicular OTA applications
Journal article, 2018

Over-the-air (OTA) measurement techniques are essential to verify the performance of antennas and wireless devices. The random line-of-sight (random-LOS) measurement setup offers the advantage to test the OTA performance of antennas mounted on cars in existing, or new, semianechoic chamber and full-anechoic chamber. Hence, reusing currently available infrastructures together with a cost-efficient measurement setup will reduce OTA costs for the automotive industry. In random-LOS, a plane wave is synthesized in the test zone, where the far field of a radio base station is emulated. We present measurements and simulations of a random-LOS OTA setup operating at the 2.7 GHz band. We compare the cases when the emulated base station signals are generated by a single dual-polarized bowtie antenna, a uniform linear array of bowties and a uniform planar array of bowties. The evaluation of the standard deviation of the reference received signal in the test zone shows good agreement between measurements and simulations. We show with measurements that for a test zone with a radius of 0.5 m, the standard deviation can be less than 0.8 dB for the analyzed random-LOS OTA setup.

Anechoic chamber (AC)

automotive communication

over-the-air (OTA)

random line-of-sight (random-LOS)

Author

Madeleine Schilliger Kildal

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Jan Carlsson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Provinn AB

Andres Alayon Glazunov

University of Twente

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Transactions on Antennas and Propagation

0018926x (ISSN) 15582221 (eISSN)

Vol. 66 11 6291-6299 8457239

Subject Categories

Communication Systems

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TAP.2018.2869133

More information

Latest update

11/19/2018