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    • 1. 发明授权
    • Motion-based adaptive frequency estimation of a doppler velocity sensor
    • 多普勒速度传感器的基于运动的自适应频率估计
    • US08917203B2
    • 2014-12-23
    • US13164889
    • 2011-06-21
    • Ryan IngvalsonRobert C. McCroskeyWesley J. Hawkinson
    • Ryan IngvalsonRobert C. McCroskeyWesley J. Hawkinson
    • G01S13/08G01C21/10G01C21/16
    • G01C21/10G01C21/165G01S13/60G01S13/86
    • A system and method for motion-based adaptive frequency estimation of a Doppler sensor is provided. The system comprises a Doppler sensor configured to output a digitized Doppler data signal, and a Doppler velocity estimation module operatively coupled to the Doppler sensor to receive the Doppler data signal. An inertial navigation system is operatively coupled to the Doppler velocity estimation module, and one or more inertial sensors is operatively coupled to the inertial navigation system. The inertial sensors are configured to transmit inertial navigation data to the inertial navigation system. The Doppler velocity estimation module calculates a speed or velocity estimate based on the Doppler data signal and the inertial navigation data. The speed or velocity estimate is then transmitted to the inertial navigation system.
    • 提供了一种用于多普勒传感器的基于运动的自适应频率估计的系统和方法。 该系统包括被配置为输出数字化多普勒数据信号的多普勒传感器和可操作地耦合到多普勒传感器以接收多普勒数据信号的多普勒速度估计模块。 惯性导航系统可操作地耦合到多普勒速度估计模块,并且一个或多个惯性传感器可操作地耦合到惯性导航系统。 惯性传感器被配置成将惯性导航数据传送到惯性导航系统。 多普勒速度估计模块基于多普勒数据信号和惯性导航数据来计算速度或速度估计。 然后将速度或速度估计值传输到惯性导航系统。
    • 2. 发明申请
    • MOTION-BASED ADAPTIVE FREQUENCY ESTIMATION OF A DOPPLER VELOCITY SENSOR
    • 多普勒速度传感器的基于运动的自适应频率估计
    • US20120326918A1
    • 2012-12-27
    • US13164889
    • 2011-06-21
    • Ryan IngvalsonRobert C. McCroskeyWesley J. Hawkinson
    • Ryan IngvalsonRobert C. McCroskeyWesley J. Hawkinson
    • G01S13/58
    • G01C21/10G01C21/165G01S13/60G01S13/86
    • A system and method for motion-based adaptive frequency estimation of a Doppler sensor is provided. The system comprises a Doppler sensor configured to output a digitized Doppler data signal, and a Doppler velocity estimation module operatively coupled to the Doppler sensor to receive the Doppler data signal. An inertial navigation system is operatively coupled to the Doppler velocity estimation module, and one or more inertial sensors is operatively coupled to the inertial navigation system. The inertial sensors are configured to transmit inertial navigation data to the inertial navigation system. The Doppler velocity estimation module calculates a speed or velocity estimate based on the Doppler data signal and the inertial navigation data. The speed or velocity estimate is then transmitted to the inertial navigation system.
    • 提供了一种用于多普勒传感器的基于运动的自适应频率估计的系统和方法。 该系统包括被配置为输出数字化多普勒数据信号的多普勒传感器和可操作地耦合到多普勒传感器以接收多普勒数据信号的多普勒速度估计模块。 惯性导航系统可操作地耦合到多普勒速度估计模块,并且一个或多个惯性传感器可操作地耦合到惯性导航系统。 惯性传感器被配置成将惯性导航数据传送到惯性导航系统。 多普勒速度估计模块基于多普勒数据信号和惯性导航数据来计算速度或速度估计。 然后将速度或速度估计值传输到惯性导航系统。
    • 3. 发明授权
    • Estimation of N-dimensional parameters while sensing fewer than N dimensions
    • 在N维度下检测N维参数的估计
    • US08812235B2
    • 2014-08-19
    • US13368823
    • 2012-02-08
    • Ryan IngvalsonWesley J. HawkinsonRobert C. McCroskeyPaul Samanant
    • Ryan IngvalsonWesley J. HawkinsonRobert C. McCroskeyPaul Samanant
    • G01C21/16
    • G01C21/165
    • Embodiments of the present invention provide improved systems and methods for estimating N-dimensional parameters while sensing fewer than N dimensions. In one embodiment a navigational system comprises a processor and an inertial measurement unit (IMU) that provides an output to the processor, the processor providing a navigation solution based on the output of the IMU, wherein the navigation solution includes a calculation of an n-dimensional parameter. Further, the navigational system includes at most two sensors that provide an output to the processor, wherein the processor computes an estimate of an n-dimensional parameter from the output of the at most two sensors for bounding errors in the n-dimensional parameter as calculated by the processor when the trajectory measured by the IMU satisfies movement requirements, wherein “n” is greater than the number of the at most two sensors.
    • 本发明的实施例提供用于在感测少于N维的情况下估计N维参数的改进的系统和方法。 在一个实施例中,导航系统包括向处理器提供输出的处理器和惯性测量单元(IMU),所述处理器基于所述IMU的输出提供导航解决方案,其中所述导航解决方案包括: 尺寸参数。 此外,导航系统包括至多两个向处理器提供输出的传感器,其中处理器从最多两个传感器的输出计算n维参数的估计,用于在所计算的n维参数中的边界误差 当由IMU测量的轨迹满足运动要求时,由处理器,其中“n”大于至多两个传感器的数量。
    • 4. 发明申请
    • ESTIMATION OF N-DIMENSIONAL PARAMETERS WHILE SENSING FEWER THAN N DIMENSIONS
    • 传感到N尺寸以上的N维参数的估计
    • US20120209520A1
    • 2012-08-16
    • US13368823
    • 2012-02-08
    • Ryan IngvalsonWesley J. HawkinsonRobert C. McCroskeyPaul Samanant
    • Ryan IngvalsonWesley J. HawkinsonRobert C. McCroskeyPaul Samanant
    • G01C21/16
    • G01C21/165
    • Embodiments of the present invention provide improved systems and methods for estimating N-dimensional parameters while sensing fewer than N dimensions. In one embodiment a navigational system comprises a processor and an inertial measurement unit (IMU) that provides an output to the processor, the processor providing a navigation solution based on the output of the IMU, wherein the navigation solution includes a calculation of an n-dimensional parameter. Further, the navigational system includes at most two sensors that provide an output to the processor, wherein the processor computes an estimate of an n-dimensional parameter from the output of the at most two sensors for bounding errors in the n-dimensional parameter as calculated by the processor when the trajectory measured by the IMU satisfies movement requirements, wherein “n” is greater than the number of the at most two sensors.
    • 本发明的实施例提供用于在感测少于N维的情况下估计N维参数的改进的系统和方法。 在一个实施例中,导航系统包括向处理器提供输出的处理器和惯性测量单元(IMU),所述处理器基于所述IMU的输出提供导航解决方案,其中所述导航解决方案包括: 尺寸参数。 此外,导航系统包括至多两个向处理器提供输出的传感器,其中处理器从最多两个传感器的输出计算n维参数的估计,用于在所计算的n维参数中的边界误差 当由IMU测量的轨迹满足运动要求时,由处理器,其中“n”大于至多两个传感器的数量。