-
公开(公告)号：US20210254979A1
公开(公告)日：2021-08-19
申请号：US17227564
申请日：2021-04-12
摘要： There is disclosed a computer-implemented method performed in a tracking system for tracking the motion of a body, as a function of time, the method comprising: (a) during a first time period, obtaining first data related to the motion of a body from at least one primary positioning unit, wherein said at least one primary positioning unit is mounted on a first platform carried on the body, or wherein said at least one primary positioning unit is separate to the body, said primary positioning unit being operational during the first time period; (b) during the first time period, obtaining second data from one or more secondary sensors configured to make measurements from which position or movement may be determined, said one or more secondary sensors being mounted on one or more second platforms carried on the body; (c) generating first training data comprising the first data and second data; (d) during a second time period, obtaining third data from the one or more secondary sensors, and; (e) analysing the third data to estimate at least one first metric related to the motion of the body during the second time period using a first algorithm trained using the first training data. A tracking system for tracking the motion of a body, as a function of time, is also disclosed.
-
公开(公告)号：US20190128673A1
公开(公告)日：2019-05-02
申请号：US15894841
申请日：2018-02-12
摘要： A method and system for combining data obtained by sensors, having particular application in the field of navigation systems, are disclosed. The techniques provide significant improvement over state-of-the-art Markovian methods that use statistical noise filters such as Kalman filters to filter data by comparing instantaneous data with the corresponding instantaneous estimates from a model. In contrast, the techniques disclosed herein use multiple time periods of various lengths to process multiple sensor data streams, in order to combine sensor measurements with motion models at a given time epoch with greater confidence and accuracy than is possible with traditional “single epoch” methods. The techniques provide particular benefit when the first and/or second sensors are low-cost sensors (for example as seen in smart phones) which are typically of low quality and have large inherent biases.
-
公开(公告)号：US20220404509A1
公开(公告)日：2022-12-22
申请号：US17892682
申请日：2022-08-22
摘要： A system is disclosed for determining a physical metric such as position. The system comprises a local signal generator (8) configured to provide a local signal and a receiver (4) configured to receive a signal having properties corresponding to those in a signal transmitted by a trusted remote source. An inertial measurement unit (12) is configured to provide a measured or assumed movement of the receiver. A correlator (6) is configured to provide a correlation signal by correlating the local signal with the received signal. A motion compensation unit (14) is configured to provide motion compensation of at least one of the local signal, the received signal, and the correlation signal based on the measured or assumed movement. A signal analysis unit (16) is configured to determine whether the received signal includes a component received in a direction that is different to a line-of-sight direction between the receiver and the trusted remote source, wherein the determination is based on the correlation signal. Finally, a metric determination unit or positioning unit (20) is configured to determine a physical metric associated with the receiver, such as its position, based on the determination made by the signal analysis unit (16).
-
公开(公告)号：US20200319347A1
公开(公告)日：2020-10-08
申请号：US16823854
申请日：2020-03-19
摘要： A system is disclosed for determining a physical metric such as position. The system comprises a local signal generator (8) configured to provide a local signal and a receiver (4) configured to receive a signal having properties corresponding to those in a signal transmitted by a trusted remote source. An inertial measurement unit (12) is configured to provide a measured or assumed movement of the receiver. A correlator (6) is configured to provide a correlation signal by correlating the local signal with the received signal. A motion compensation unit (14) is configured to provide motion compensation of at least one of the local signal, the received signal, and the correlation signal based on the measured or assumed movement. A signal analysis unit (16) is configured to determine whether the received signal includes a component received in a direction that is different to a line-of-sight direction between the receiver and the trusted remote source, wherein the determination is based on the correlation signal. Finally, a metric determination unit or positioning unit (20) is configured to determine a physical metric associated with the receiver, such as its position, based on the determination made by the signal analysis unit (16).
-
公开(公告)号：US10816672B2
公开(公告)日：2020-10-27
申请号：US15822475
申请日：2017-11-27
摘要： A positioning device (4) is disclosed comprising at least one antenna (14, 16) for receiving ranging signals, such as GNSS signals. The device comprises a local oscillator (18) for providing a local frequency or phase reference and an inertial sensor (22) for measuring a movement of the device. A processor (36) is provided for performing calculations. The device can receive a first reference signal at a known or predictable frequency or phase. A local oscillator offset determination module (26) is provided to calculate an offset to the received frequency or the received phase based on the movement of the receiver in the direction of the first reference source. A local signal generator (28) can then use the local frequency or phase reference from the local oscillator (18), and the offset calculated by the local oscillator offset determination module (26), to provide a local signal using a local signal generator (28). The local signal can be correlated against a received ranging signal for use in positioning calculations performed by a positioning calculator (34).
-
6.发明申请公开(公告)号：US20190011569A1
公开(公告)日：2019-01-10
申请号：US15822475
申请日：2017-11-27
摘要： A positioning device (4) is disclosed comprising at least one antenna (14, 16) for receiving ranging signals, such as GNSS signals. The device comprises a local oscillator (18) for providing a local frequency or phase reference and an inertial sensor (22) for measuring a movement of the device. A processor (36) is provided for performing calculations. The device can receive a first reference signal at a known or predictable frequency or phase. A local oscillator offset determination module (26) is provided to calculate an offset to the received frequency or the received phase based on the movement of the receiver in the direction of the first reference source. A local signal generator (28) can then use the local frequency or phase reference from the local oscillator (18), and the offset calculated by the local oscillator offset determination module (26), to provide a local signal using a local signal generator (28). The local signal can be correlated against a received ranging signal for use in positioning calculations performed by a positioning calculator (34).
-
公开(公告)号：US11815355B2
公开(公告)日：2023-11-14
申请号：US17315461
申请日：2021-05-10
CPC分类号： G01C21/005 , G01C21/1652 , G01C21/1654 , G01C21/1656 , G01C21/185 , G01C21/188 , G01C22/006 , G01S19/48 , G01S19/485
摘要： A method and system for combining data obtained by sensors, having particular application in the field of navigation systems, are disclosed. The techniques provide significant improvement over state-of-the-art Markovian methods that use statistical noise filters such as Kalman filters to filter data by comparing instantaneous data with the corresponding instantaneous estimates from a model. In contrast, the techniques disclosed herein use multiple time periods of various lengths to process multiple sensor data streams, in order to combine sensor measurements with motion models at a given time epoch with greater confidence and accuracy than is possible with traditional “single epoch” methods. The techniques provide particular benefit when the first and/or second sensors are low-cost sensors (for example as seen in smart phones) which are typically of low quality and have large inherent biases.
-
公开(公告)号：US11474258B2
公开(公告)日：2022-10-18
申请号：US16823854
申请日：2020-03-19
摘要： A system is disclosed for determining a physical metric such as position. The system comprises a local signal generator (8) configured to provide a local signal and a receiver (4) configured to receive a signal having properties corresponding to those in a signal transmitted by a trusted remote source. An inertial measurement unit (12) is configured to provide a measured or assumed movement of the receiver. A correlator (6) is configured to provide a correlation signal by correlating the local signal with the received signal. A motion compensation unit (14) is configured to provide motion compensation of at least one of the local signal, the received signal, and the correlation signal based on the measured or assumed movement. A signal analysis unit (16) is configured to determine whether the received signal includes a component received in a direction that is different to a line-of-sight direction between the receiver and the trusted remote source, wherein the determination is based on the correlation signal. Finally, a metric determination unit or positioning unit (20) is configured to determine a physical metric associated with the receiver, such as its position, based on the determination made by the signal analysis unit (16).
-
公开(公告)号：US20240027194A1
公开(公告)日：2024-01-25
申请号：US18377380
申请日：2023-10-06
CPC分类号： G01C21/005 , G01S19/48 , G01C22/006 , G01S19/485 , G01C21/1654 , G01C21/188 , G01C21/1652 , G01C21/185 , G01C21/1656
摘要： A method and system for combining data obtained by sensors, having particular application in the field of navigation systems, are disclosed. The techniques provide significant improvement over state-of-the-art Markovian methods that use statistical noise filters such as Kalman filters to filter data by comparing instantaneous data with the corresponding instantaneous estimates from a model. In contrast, the techniques disclosed herein use multiple time periods of various lengths to process multiple sensor data streams, in order to combine sensor measurements with motion models at a given time epoch with greater confidence and accuracy than is possible with traditional “single epoch” methods. The techniques provide particular benefit when the first and/or second sensors are low-cost sensors (for example as seen in smart phones) which are typically of low quality and have large inherent biases.
-
公开(公告)号：US20210278216A1
公开(公告)日：2021-09-09
申请号：US17315461
申请日：2021-05-10
摘要： A method and system for combining data obtained by sensors, having particular application in the field of navigation systems, are disclosed. The techniques provide significant improvement over state-of-the-art Markovian methods that use statistical noise filters such as Kalman filters to filter data by comparing instantaneous data with the corresponding instantaneous estimates from a model. In contrast, the techniques disclosed herein use multiple time periods of various lengths to process multiple sensor data streams, in order to combine sensor measurements with motion models at a given time epoch with greater confidence and accuracy than is possible with traditional “single epoch” methods. The techniques provide particular benefit when the first and/or second sensors are low-cost sensors (for example as seen in smart phones) which are typically of low quality and have large inherent biases.
-
-
-
-
-
-
-
-
-
搜索结果
12 条记录 (耗时 0.014 秒)
