Using MIMO training fields for motion detection

MIMO training fields in Wi-Fi 6 signals improve motion detection accuracy and precision by analyzing channel information, addressing the limitations of existing systems in detecting motion through walls and reducing false alerts.

CA3152905CActive Publication Date: 2026-06-30COGNITIVE SYST
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Patent Information

Authority / Receiving Office
CA · CA
Patent Type
Patents
Current Assignee / Owner
COGNITIVE SYST
Filing Date
2020-10-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing motion detection systems lack the ability to provide accurate, fine-grained, and high-resolution detection of motion in a space without the use of cameras, especially in environments with obstructions like walls, and often result in false alerts.

Method used

Utilizing multiple-input-multiple-output (MIMO) training fields, particularly the High-Efficiency Long Training Field (HE-LTF) in Wi-Fi 6 signals, to analyze channel information and detect motion with higher frequency resolution and bandwidth, enabling precise motion detection through wireless signals.

Benefits of technology

The MIMO training fields enhance motion detection accuracy and precision, allowing for robust motion detection across environments with obstructions and reducing false alerts, while maintaining privacy by not using cameras.

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Abstract

In a general aspect, various fields of a PHY frame are used for motion detection. In some aspects, a first training field and a second, different training field are identified in a PHY frame of each wireless signal transmitted between wireless communication devices in a wireless communication network. A first time-domain channel estimate and a second time-domain channel estimate are generated for each wireless signal. The first time-domain channel estimate is based on a first frequency-domain signal included in the first training field, while the second time-domain channel estimate is based on a second frequency-domain signal included in the second training field. A determination is made whether motion has occurred in a space during the time period based on the first time-domain channel estimates, and a location of the motion within the space is determined based on the second time-domain channel estimates.
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