CROWD SOURCED RTT-BASED POSITIONING

    公开(公告)号:US20220353839A1

    公开(公告)日:2022-11-03

    申请号:US17852115

    申请日:2022-06-28

    Abstract: In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that am RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., psuedoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

    CROWD SOURCED RTT-BASED POSITIONING
    2.
    发明公开

    公开(公告)号:US20240196353A1

    公开(公告)日:2024-06-13

    申请号:US18584175

    申请日:2024-02-22

    Abstract: In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that are RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., psuedoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

    CROWD SOURCED BEACON ALTITUDES FOR 3D POSITIONING

    公开(公告)号:US20240288528A1

    公开(公告)日:2024-08-29

    申请号:US18628496

    申请日:2024-04-05

    CPC classification number: G01S1/024 G01S19/45 G06F16/2379 H04W24/10

    Abstract: In various embodiments, crowd sourcing techniques are provided to determine beacon altitudes that may then be used in 3D positioning of UE. Some techniques may crowd source beacon altitudes based on global navigation satellite system (GNSS) position fixes obtained by UE. Other techniques may crowd source beacon altitudes based on uncalibrated pressure measurements obtained by UE. Still other techniques may combine beacon altitude crowd-sourcing and pressure sensor calibration on UE. Such techniques may make inferences based on line of sight (LOS) between UE and beacons, determined using signal strength, connection status, and/or timing measurement. The techniques may be implemented separately, or as part of a combined system that determines beacon altitudes in diverse manners. Once beacon altitudes are known, that may be used to determine 3D positions of the UE (e.g., by trilateration, multilateration or other positioning techniques).

    CROWD SOURCED RTT-BASED POSITIONING

    公开(公告)号:US20220303932A1

    公开(公告)日:2022-09-22

    申请号:US17830233

    申请日:2022-06-01

    Abstract: In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that are RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., pseudoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

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