We extend the autocorrelation-based approaches currently used in standards to full correlationmatrix-based approaches in order to identify correlation between both spatially adjacent and non-adjacent samples in reverberation-chamber measurements. We employ a scalar metric that allows users to identify the number of effectively uncorrelated samples in new types of stirring sequences. To make these approaches practical and enhance their accuracy, we implement a thresholding technique that retains correlation related to important aspects of chamber configuration such as loading and undermoded conditions. We develop a method to propagate uncertainty in the complex correlation coefficients through to the number of effective samples for a given reverberation-chamber set-up by use of a bootstrap technique that is accurate even for highly skewed distributions of correlation coefficients. We further apply this method in a sensitivity study regarding the choice of threshold value. Agreement with existing approaches in determining the number of effectively uncorrelated samples is presented for a measurement example where spatially adjacent samples are utilized. Examples are then illustrated for non-spatially-adjacent correlated samples at microwave and millimeter-wave frequencies.
In this study, the uplink performance of Sigfox and LoRa is evaluated in a controlled propagation environment (reverberation chamber). This evaluation is performed in terms of transfer error rate as a function of calibrated path loss, which allows a direct comparison of the performance of both systems under statistically similar propagation conditions. The analysis of the results shows that the proposed setup and testing methodology can be useful for comparing the many new wireless IoT technologies in a practical setting.
Abstract-Autonomous cars will in a near future drive around in cities and on highways. Antennas will then be needed to secure the wireless connection to these cars. To be able to test the antennas we have defined two edge environments: the Random Line-of-Sight (LOS) and the Rich Isotropic Multipath (RIMP). This paper shows a throughput performance comparison between measurements and simulations of a car-roof (shark-fin) antenna mounted on a ground plane in both of these environments. The comparison is done for both one and two bitstreams in a 2×2 MIMO system. The analysis is based on probability of detection (PoD) curves representing the throughput performance with digital threshold receivers.
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