PSUEDO MAXIMUM LIKELIHOOD TRACKING FOR GLOBAL NAVIGATION SATELLITE SYSTEMS
    1.
    发明申请
    PSUEDO MAXIMUM LIKELIHOOD TRACKING FOR GLOBAL NAVIGATION SATELLITE SYSTEMS 审中-公开
    全球导航卫星系统的PSUEDO最大起飞跟踪

    公开(公告)号:US20160231428A1

    公开(公告)日:2016-08-11

    申请号:US15131144

    申请日:2016-04-18

    CPC classification number: G01S19/22 G01S19/24 G01S19/258 G01S19/42 G01S19/52

    Abstract: GNSS receivers and methods of determining a current receiver state of a GNSS receiver are provided. The method includes receiving positioning signals from a plurality of satellites; generating a plurality of correlation grids from the received positioning signals, where each correlation grid is associated with a respective one of the plurality of satellites; estimating a probability distribution of the current receiver state from the plurality of correlation grids; and determining a maximum likelihood estimate of the current receiver state from the estimated probability distribution.

    Abstract translation: 提供GNSS接收机和确定GNSS接收机的当前接收机状态的方法。 该方法包括从多个卫星接收定位信号; 从所接收的定位信号生成多个相关网格,其中每个相关网格与所述多个卫星中的相应一个相关联; 从所述多个相关网格估计当前接收器状态的概率分布; 以及从估计的概率分布确定当前接收机状态的最大似然估计。

    Terrestrial positioning assistance serving based on receiver device context

    公开(公告)号:US09658313B2

    公开(公告)日:2017-05-23

    申请号:US13912352

    申请日:2013-06-07

    CPC classification number: G01S5/0294 G01S5/0242 G01S5/0252 H04W64/00

    Abstract: A method and apparatus for harvesting information from a plurality of radio frequency (RF) sources. In one example, a collector device receives RF signals from the RF sources to produce the harvesting information. The collector device also determines environmental context information describing a physical environment of the collector device as the RF signals were being received, and a position of the collector device where the RF signals where received. The collector device then associates the environmental context information with the harvesting information and the position, and transmits the harvesting information and position with the associated environmental context information to a server device. The server device may then compute positioning information biased to different environmental contexts. This biased positioning information may then be utilized by other collector devices having similar environmental contexts to better estimate their respective locations.

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