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公开(公告)号:US11688263B2
公开(公告)日:2023-06-27
申请号:US17294268
申请日:2019-01-08
Applicant: Google LLC
Inventor: Dongeek Shin , Yu Wen , Zhifeng Cai , Brian Mitchell Silverstein , Raymond Reynolds Hayes , Kevin N. Hayes
CPC classification number: G08B21/043 , G08B29/188 , H04L5/0055 , H04L67/34 , H04W4/027 , G08B13/2491 , H04L67/104
Abstract: This document describes techniques and devices to detect and classify human and animal presence and/or motion based on changes in the interaction of the human or animal with Wireless Local Area Network (WLAN) radio frequency (RF) signals within or about a building structure, such as a home or office. A first WLAN device transmits a sounding packet to a second WLAN device and receives an acknowledgement (ACK) of receiving the sounding packet by the second WLAN device. The first WLAN device uses the received ACK to determine Channel State Information (CSI) for an RF signal path between the first WLAN device and the second WLAN device, aggregates the determined CSI with additional CSI, and uses the aggregated CSI to determine a presence or a motion within the structure.
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公开(公告)号:US20240098527A1
公开(公告)日:2024-03-21
申请号:US18264209
申请日:2022-02-04
Applicant: Google LLC
Inventor: Yu Wen , Zhifeng Cai , Srinivasa Kumar Duvvuri , Raymond Reynolds Hayes , Kevin N. Hayes , Der-Woei Wu
Abstract: This document describes improvements in range and reliability for wireless mesh networks implementing IEEE 802.11 networking technologies. Reducing the number of spatial streams, N, to a lower value at middle and far distance ranges using an optimized rate control algorithm, preemptively trades off a lower throughput limit for a higher link budget. This higher link budget provides longer range and higher RF link reliability by using an N×N spatial diversity of MIMO RF channels for maximizing link budget instead of network throughput.
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公开(公告)号:US20220005337A1
公开(公告)日:2022-01-06
申请号:US17294268
申请日:2019-01-08
Applicant: Google LLC
Inventor: Dongeek Shin , Yu Wen , Zhifeng Cai , Brian Mitchell Silverstein , Raymond Reynolds Hayes , Kevin N. Hayes
Abstract: This document describes techniques and devices to detect and classify human and animal presence and/or motion based on changes in the interaction of the human or animal with Wireless Local Area Network (WLAN) radio frequency (RF) signals within or about a building structure, such as a home or office. A first WLAN device transmits a sounding packet to a second WLAN device and receives an acknowledgement (ACK) of receiving the sounding packet by the second WLAN device. The first WLAN device uses the received ACK to determine Channel State Information (CSI) for an RF signal path between the first WLAN device and the second WLAN device, aggregates the determined CSI with additional CSI, and uses the aggregated CSI to determine a presence or a motion within the structure.
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