Experimental Performance Evaluation of Location Distinction for MIMO Channels
Dustin Maas, Neal Patwari, Daryl Wasden, Sneha Kasera, Michael Jensen

TL;DR
This paper evaluates the performance of location distinction methods in MIMO wireless channels, demonstrating significant improvements over SISO channels in detecting device position changes with high reliability.
Contribution
It introduces and empirically evaluates location distinction techniques specifically tailored for MIMO channels, showing their effectiveness and advantages over traditional SISO methods.
Findings
MIMO channels significantly reduce miss rates compared to SISO.
A 2x2 MIMO system achieves a false alarm probability as low as 4e-4.
High reliability enables detection of position changes with a single receiver.
Abstract
Location distinction is defined as determining whether or not the position of a device has changed. We introduce methods and metrics for performing location distinction in multiple-input multiple-output (MIMO) wireless networks. Using MIMO channel measurements from two different testbeds, we evaluate the performance of temporal signature-based location distinction with varying system parameters, and show that it can be applied to MIMO channels with favorable results. In particular, a 2x2 MIMO channel with a bandwidth of 80 MHz allows a 64-fold reduction in miss rate over the SISO channel for a fixed false alarm rate, achieving as small as 4 x 10^-4 probability of false alarm for a 2.4 x 10^-4 probability of missed detection. The very high reliability of MIMO location distinction enables location distinction systems to detect the change in position of a transmitter even when using a…
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Taxonomy
TopicsWireless Communication Networks Research · Advanced Wireless Communication Techniques · Indoor and Outdoor Localization Technologies
