Calculation method for network-specific factors in a network of reference stations for a satellite-based positioning system
    1.
    发明授权
    Calculation method for network-specific factors in a network of reference stations for a satellite-based positioning system 有权
    基于卫星定位系统的参考站网络特定因素的计算方法

    公开(公告)号:US07948433B2

    公开(公告)日:2011-05-24

    申请号:US12304264

    申请日:2007-05-30

    IPC分类号: G01S19/14

    CPC分类号: G01C15/00 G01S19/07

    摘要: A correction calculation method for a satellite based positioning system with a network of receiving units as reference stations comprises a partitioning of the network into groups of reference stations, calculation of group-specific correction factors, amalgamation of the group-specific correction factors and subsequently, derivation of network-specific correction parameters. In this partitioning, the reference stations are represented by nodes in a connected, edge-weighted graph, in the generation of which an edge respectively connecting two nodes is only generated if it satisfies a distance-dependent connectivity condition, whereby the distance between the nodes connected by this edge is input into the weighting function of this edge. From the graph a minimum spanning tree is derived and subsequently partitioned for establishing the groups.

    摘要翻译: 一种基于卫星的定位系统的校正计算方法,具有接收单元作为参考站的网络,包括将网络划分成参考站组,计算组特定校正因子,组合特定校正因子的合并, 网络特定校正参数的推导。 在这种分割中,参考站由连接的边缘加权图中的节点表示,其中分别连接两个节点的边缘仅在满足距离相关连接条件时才产生,由此节点之间的距离 通过该边连接输入到该边的加权函数。 从图中,导出最小生成树,并随后进行分区以建立组。

    SYSTEMS AND METHODS FOR IMPROVED POSITION DETERMINATION OF VEHICLES
    2.
    发明申请
    SYSTEMS AND METHODS FOR IMPROVED POSITION DETERMINATION OF VEHICLES 有权
    改进车辆位置确定的系统和方法

    公开(公告)号:US20090099774A1

    公开(公告)日:2009-04-16

    申请号:US12039601

    申请日:2008-02-28

    IPC分类号: G01C21/00

    摘要: Systems and methods for determining a position of a vehicle are described. The system includes at least one GNSS sensor mounted to the vehicle for receiving GNSS signals of a global positioning system and at least one physical sensor mounted to the vehicle for generating physical data indicative of a physical parameter of at least a part of the vehicle. The system also includes a recursive statistical estimator, such as a Kalman Filter, in communication with the GNSS sensor(s) for seeding the recursive statistical estimator with an output of the GNSS sensor(s) to determine an estimated position of the vehicle. A data fusion module combines the estimated position and velocity of the vehicle with the physical data thus generating combined data, which is used to seed the recursive statistical estimator to determine an updated estimated position of the vehicle.

    摘要翻译: 描述用于确定车辆位置的系统和方法。 该系统包括安装到车辆的至少一个GNSS传感器,用于接收全球定位系统的GNSS信号,以及安装到车辆的至少一个物理传感器,用于产生指示车辆的至少一部分的物理参数的物理数据。 该系统还包括与GNSS传感器通信的递归统计估计器,例如卡尔曼滤波器,用于将递归统计估计器与GNSS传感器的输出接合,以确定车辆的估计位置。 数据融合模块将车辆的估计位置和速度与物理数据组合,从而产生组合数据,该组合数据用于对递归统计估计器进行种子以确定车辆的更新估计位置。

    Systems and methods for improved position determination of vehicles
    3.
    发明授权
    Systems and methods for improved position determination of vehicles 有权
    改进车辆位置确定的系统和方法

    公开(公告)号:US08374783B2

    公开(公告)日:2013-02-12

    申请号:US12039601

    申请日:2008-02-28

    摘要: Systems and methods for determining a position of a vehicle are described. The system includes at least one GNSS sensor mounted to the vehicle for receiving GNSS signals of a global positioning system and at least one physical sensor mounted to the vehicle for generating physical data indicative of a physical parameter of at least a part of the vehicle. The system also includes a recursive statistical estimator, such as a Kalman Filter, in communication with the GNSS sensor(s) for seeding the recursive statistical estimator with an output of the GNSS sensor(s) to determine an estimated position of the vehicle. A data fusion module combines the estimated position and velocity of the vehicle with the physical data thus generating combined data, which is used to seed the recursive statistical estimator to determine an updated estimated position of the vehicle.

    摘要翻译: 描述用于确定车辆位置的系统和方法。 该系统包括安装到车辆的至少一个GNSS传感器,用于接收全球定位系统的GNSS信号,以及安装到车辆的至少一个物理传感器,用于产生指示车辆的至少一部分的物理参数的物理数据。 该系统还包括与GNSS传感器通信的递归统计估计器,例如卡尔曼滤波器,用于将递归统计估计器与GNSS传感器的输出接合,以确定车辆的估计位置。 数据融合模块将车辆的估计位置和速度与物理数据组合,从而产生组合数据,该组合数据用于对递归统计估计器进行种子以确定车辆的更新估计位置。

    CALCULATION METHOD FOR NETWORK-SPECIFIC FACTORS IN A NETWORK OF REFERENCE STATIONS FOR A SATELLITE-BASED POSITIONING SYSTEM
    4.
    发明申请
    CALCULATION METHOD FOR NETWORK-SPECIFIC FACTORS IN A NETWORK OF REFERENCE STATIONS FOR A SATELLITE-BASED POSITIONING SYSTEM 有权
    基于卫星定位系统的参考站网络中网络特定因子的计算方法

    公开(公告)号:US20100001903A1

    公开(公告)日:2010-01-07

    申请号:US12304264

    申请日:2007-05-30

    IPC分类号: G01S5/14

    CPC分类号: G01C15/00 G01S19/07

    摘要: A correction calculation method for a satellite based positioning system with a network of receiving units as reference stations comprises a partitioning of the network into groups of reference stations, calculation of group-specific correction factors, amalgamation of the group-specific correction factors and subsequently, derivation of network-specific correction parameters. In this partitioning, the reference stations are represented by nodes in a connected, edge-weighted graph, in the generation of which an edge respectively connecting two nodes is only generated if it satisfies a distance-dependent connectivity condition, whereby the distance between the nodes connected by this edge is input into the weighting function of this edge. From the graph a minimum spanning tree is derived and subsequently partitioned for establishing the groups, by eliminating the edge with the highest weight for each tree, the elimination of which leads to partial trees which in each case either satisfy a cardinality condition for the number of the nodes in the two resulting partial trees, or consist of a number of nodes greater than the cardinality condition.

    摘要翻译: 一种基于卫星的定位系统的校正计算方法,具有接收单元作为参考站的网络,包括将网络划分成参考站组,计算组特定校正因子,组合特定校正因子的合并, 网络特定校正参数的推导。 在这种分割中,参考站由连接的边缘加权图中的节点表示,其中分别连接两个节点的边缘仅在满足距离相关连接条件时才产生,由此节点之间的距离 通过该边连接输入到该边的加权函数。 从图中导出最终生成树,随后通过消除每棵树具有最高权重的边缘来划分用于建立群组的消息,其消除导致部分树在每种情况下满足基数条件 两个生成的部分树中的节点,或者由大于基数条件的多个节点组成。