# Wireless LAN sensing with smart antennas

arXiv: https://arxiv.org/abs/2205.00973 · HTML: https://mlsanity.com/paper/2205.00973/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 21 references that are in the map.
- First posted on arXiv 27 Apr 2022.

## Builds on (most cited first, 2 of 2)

- [Electromagnetic Models for Passive Detection and Localization of Multiple Bodies](https://mlsanity.com/paper/2104.07354/) (2021)
- [A cloud-IoT platform for passive radio sensing: challenges and application case studies](https://mlsanity.com/paper/2103.14554/) (2021)

## Built on by (most cited first, 1 of 1)

- [An Initial Study of Human-Scale Blockage in sub-THz Radio Propagation with Application to Indoor Passive Localization](https://mlsanity.com/paper/2406.16894/) (2024)

## Abstract (arXiv)

The paper targets the problem of human motion detection using Wireless Local Area Network devices (WiFi) equipped with pattern reconfigurable antennas. Motion sensing is obtained by monitoring the body-induced alterations of the ambient WiFi signals originated from smart antennas supporting the beam-steering technology, thus allowing to channelize the antenna radiation pattern to pre-defined spots of interest. We first discuss signal and Channel State Information (CSI) processing and sanitization. Next, we describe the motion detection algorithm based on Angle-of-Arrival (AoA) monitoring. Proposed algorithms are validated experimentally inside a large size smart home environment.