Papers for

indoor localization teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Beam-switched circular array reduces Wi-Fi angle ambiguity

A Beam-Switched Sparse Circular Array for Passive Wi-Fi Sensing

Abstract: Wi-Fi sensing applications require unambiguous angle-of-arrival (AoA) estimation over the full azimuth plane. Uniform circular arrays (UCAs) are shown to remove this ambiguity, but deploying the four RF chains typically available on commercial Wi-Fi chipsets into a sparse layout suffers from spatial undersampling. Such undersampling produces strong grating lobes. To overcome this hardware bottleneck, we first establish a generalized array manifold incorporating element radiation patterns, revealing the suitability and degradation mechanisms of directional UCAs. Then we propose an angularly staggered beam-switched UCA architecture that leverages the spatial complementarity. Numerical evaluations demonstrate that the proposed scheme effectively mitigates grating-lobe ambiguities without increasing the number of RF chains, significantly reducing AoA estimation outliers and improving omnidirectional tracking performance.

Mon 2 NovInformation Theory
The gist
Wi-Fi devices can sometimes struggle to tell exactly where a signal is coming from around them because of technical limits in how their antennas are arranged. The authors looked at a special kind of antenna layout called a uniform circular array, which can help solve this, but when only a few antennas are used, this setup can cause confusing signals called grating lobes. They developed a method to switch antenna beams in a staggered way that reduces these confusing signals without needing extra hardware. This helps make Wi-Fi sensing more accurate when figuring out the direction signals arrive from all around.
Open → 2611.02378v1