会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • Systems and Methods for Detecting GPS Measurement Errors
    • 用于检测GPS测量误差的系统和方法
    • US20090128407A1
    • 2009-05-21
    • US11942912
    • 2007-11-20
    • Gang XieMangesh ChansarkarDaniel LiaoXiangdong Lin
    • Gang XieMangesh ChansarkarDaniel LiaoXiangdong Lin
    • G01C21/00G01S1/00
    • G01C21/00G01S19/20
    • Systems and methods for detecting global positioning system (GPS) measurement errors are provided. In this regard, a representative system, among others, includes a navigation device that is configured to receive GPS signals from signal sources, the navigation device being configured to calculate pseudoranges (PRs) and delta ranges (DRs) based on the received GPS signals, the navigation device including a consistency check algorithm that is configured to: determine mismatches between the respective calculated PRs and DRs, and indicate that an error exists in the respective calculated PRs and DRs based on their mismatch and mismatch accumulations. This algorithm can be independent of navigation state and is capable of detecting slow-changing errors.
    • 提供了用于检测全球定位系统(GPS)测量误差的系统和方法。 在这方面,代表性系统包括配置成从信号源接收GPS信号的导航装置,所述导航装置被配置为基于所接收的GPS信号计算伪距(PR)和增量范围(DR) 所述导航装置包括一致性检查算法,其被配置为:确定各个计算的PR和DR之间的不匹配,并且基于它们的不匹配和不匹配累积来指示各个计算的PR和DR中存在错误。 该算法可以独立于导航状态,并且能够检测慢速变化的错误。
    • 3. 发明授权
    • GPS navigation using interacting multiple model (IMM) estimator and probabilistic data association filter (PDAF)
    • 使用交互式多模型(IMM)估计器和概率数据关联过滤器(PDAF)的GPS导航
    • US07551133B2
    • 2009-06-23
    • US11696920
    • 2007-04-05
    • Xiangdong LinGengsheng ZhangMangesh ChansarkarDaniel LiaoLionel Garin
    • Xiangdong LinGengsheng ZhangMangesh ChansarkarDaniel LiaoLionel Garin
    • G01S5/14G01C21/00
    • G01S19/42
    • A method for GPS navigation which uses an interacting multiple-model (IMM) estimator with a probabilistic data association filter (PDAF) improves navigation performance. The method includes (a) providing two or more models of GPS navigation, with each model characterized by a model state vector which is updated periodically, (b) providing for each model a corresponding filter for deriving, for each period, a current value for the corresponding model state vector based on current measurements made on parameters affecting the corresponding state vector; and (c) applying an interacting multiple model (IMM) estimator to provide, for each period, a current value for a system state vector using the current values of the model state vectors for that period and their corresponding filters. Each model state vector may include one or more of the following: variables: 3-dimensional position, 3-dimensional velocity, satellite clock bias, satellite clock drifts and one or more other satellite parameters. The current value of the system state vector may be a weighted average of the current values of the model state vectors, where the weights are a set of mode probabilities. In addition, one or more of the filters is a probabilitic data association filter (PDAF).
    • 使用具有概率数据关联过滤器(PDAF)的交互式多模型(IMM)估计器的GPS导航方法提高了导航性能。 该方法包括(a)提供两个或多个GPS导航模型,每个模型的特征在于周期性更新的模型状态向量,(b)为每个模型提供相应的滤波器,以便为每个周期导出当前值, 基于对影响对应状态向量的参数进行的当前测量的相应模型状态向量; 并且(c)应用交互式多模型(IMM)估计器,以使用该周期的模型状态向量的当前值及其对应的过滤器为每个周期提供系统状态向量的当前值。 每个模型状态向量可以包括以下中的一个或多个:变量:3维位置,3维速度,卫星时钟偏差,卫星时钟漂移和一个或多个其他卫星参数。 系统状态向量的当前值可以是模型状态向量的当前值的加权平均值,其中权重是一组模式概率。 另外,一个或多个过滤器是概率数据关联过滤器(PDAF)。
    • 4. 发明授权
    • Systems and methods for detecting GPS measurement errors
    • 用于检测GPS测量误差的系统和方法
    • US07821454B2
    • 2010-10-26
    • US11942912
    • 2007-11-20
    • Gang XieMangesh ChansarkarDaniel LiaoXiangdong Lin
    • Gang XieMangesh ChansarkarDaniel LiaoXiangdong Lin
    • G01S19/20G01S19/21G01S19/22
    • G01C21/00G01S19/20
    • Systems and methods for detecting global positioning system (GPS) measurement errors are provided. In this regard, a representative system, among others, includes a navigation device that is configured to receive GPS signals from signal sources, the navigation device being configured to calculate pseudoranges (PRs) and delta ranges (DRs) based on the received GPS signals, the navigation device including a consistency check algorithm that is configured to: determine mismatches between the respective calculated PRs and DRs, and indicate that an error exists in the respective calculated PRs and DRs based on their mismatch and mismatch accumulations. This algorithm can be independent of navigation state and is capable of detecting slow-changing errors.
    • 提供了用于检测全球定位系统(GPS)测量误差的系统和方法。 在这方面,代表性系统包括配置成从信号源接收GPS信号的导航装置,所述导航装置被配置为基于所接收的GPS信号计算伪距(PR)和增量范围(DR) 所述导航装置包括一致性检查算法,所述一致性检查算法被配置为:确定各个计算的PR和DR之间的不匹配,并且基于它们的不匹配和不匹配累积来指示相应的所计算的PR和DR中存在错误。 该算法可以独立于导航状态,并且能够检测慢速变化的错误。
    • 6. 发明申请
    • GPS NAVIGATION USING INTERACTING MULTIPLE MODEL (IMM) ESTIMATOR AND PROBABILISTIC DATA ASSOCIATION FILTER (PDAF)
    • GPS导航使用交互式多模型(IMM)估计器和概率数据协调滤波器(PDAF)
    • US20080246653A1
    • 2008-10-09
    • US11696920
    • 2007-04-05
    • Xiangdong LinGengsheng ZhangMangesh ChansarkarDaniel LiaoLionel Garin
    • Xiangdong LinGengsheng ZhangMangesh ChansarkarDaniel LiaoLionel Garin
    • G01S1/00
    • G01S19/42
    • A method for GPS navigation which uses an interacting multiple-model (IMM) estimator with a probabilistic data association filter (PDAF) improves navigation performance. The method includes (a) providing two or more models of GPS navigation, with each model characterized by a model state vector which is updated periodically, (b) providing for each model a corresponding filter for deriving, for each period, a current value for the corresponding model state vector based on current measurements made on parameters affecting the corresponding state vector; and (c) applying an interacting multiple model (IMM) estimator to provide, for each period, a current value for a system state vector using the current values of the model state vectors for that period and their corresponding filters. Each model state vector may include one or more of the following: variables: 3-dimensional position, 3-dimensional velocity, satellite clock bias, satellite clock drifts and one or more other satellite parameters. The current value of the system state vector may be a weighted average of the current values of the model state vectors, where the weights are a set of mode probabilities. In addition, one or more of the filters is a probabilitic data association filter (PDAF).
    • 使用具有概率数据关联过滤器(PDAF)的交互式多模型(IMM)估计器的GPS导航方法提高了导航性能。 该方法包括(a)提供两个或多个GPS导航模型,每个模型的特征在于周期性更新的模型状态向量,(b)为每个模型提供相应的滤波器,以便为每个周期导出当前值, 基于对影响对应状态向量的参数进行的当前测量的相应模型状态向量; 并且(c)应用交互式多模型(IMM)估计器,以使用该周期的模型状态向量的当前值及其对应的过滤器为每个周期提供系统状态向量的当前值。 每个模型状态向量可以包括以下中的一个或多个:变量:3维位置,3维速度,卫星时钟偏差,卫星时钟漂移和一个或多个其他卫星参数。 系统状态向量的当前值可以是模型状态向量的当前值的加权平均值,其中权重是一组模式概率。 另外,一个或多个过滤器是概率数据关联过滤器(PDAF)。