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    • 1. 发明授权
    • Apparatus and method for indoor positioning
    • 室内定位装置及方法
    • US09103916B2
    • 2015-08-11
    • US13462386
    • 2012-05-02
    • Deric W. WatersJayawardan Janardhanan
    • Deric W. WatersJayawardan Janardhanan
    • G01S19/48
    • G01S19/48G01S5/0252G01S5/0263G01S5/14G01S19/03G01S19/46
    • Apparatus and method for positioning a wireless device. In one embodiment, a method for indoor positioning includes determining a reference location of a wireless device, based on satellite positioning, as the device passes between areas of satellite positioning signal reception and satellite positioning signal non-reception. While in the areas of non-reception, signals transmitted by wireless local area network (WLAN) access points (APs) and parameters of motion of the device are measured. Positions of the device are estimated while in the areas of non-reception based on the reference location and the parameters of motion. A positioning grid for positioning is generated based on the signals measured by the wireless device at the estimated positions.
    • 用于定位无线设备的装置和方法。 在一个实施例中,一种用于室内定位的方法包括当卫星定位信号接收和卫星定位信号不接收的区域之间经过卫星定位时,确定无线设备的参考位置。 在不接收的区域中,测量由无线局域网(WLAN)接入点(AP)发送的信号和设备的运动参数。 在基于参考位置和运动参数的不接收的区域中估计设备的位置。 基于由无线设备在估计位置测量的信号产生用于定位的定位网格。
    • 2. 发明授权
    • Positioning system receiver sensor system coupled with measurement data output
    • 定位系统接收机传感器系统与测量数据输出相结合
    • US09030356B2
    • 2015-05-12
    • US13163199
    • 2011-06-17
    • Goutam DuttaTarkesh PandeSandeep RaoDeric W. Waters
    • Goutam DuttaTarkesh PandeSandeep RaoDeric W. Waters
    • G01S19/47G01C21/16
    • G01S19/47G01C21/165G01S19/20G01S19/49G01S19/52
    • Embodiments of the disclosure provide a cross coupled position engine architecture for sensor integration in a Global Navigation Satellite System. In one embodiment, a data processing engine for processing inertial sensor data within a positioning system receiver is disclosed. The data processing engine includes a first input for receiving the sensor data, and a second input for receiving a positioning data. The data processing system also includes a memory and a processor. The processor of the data processing system is coupled to the memory and to the first and second input. The processor of the data processing system is configured to calculate a net acceleration profile data from the inertial sensor data and from the positioning data. The net acceleration profile data calculated by the processor of the data processing system is used for the Global Positioning System (GPS) receiver to subsequently calculate a position and a velocity data.
    • 本公开的实施例提供了用于全球导航卫星系统中的传感器集成的交叉耦合位置引擎结构。 在一个实施例中,公开了一种用于在定位系统接收器内处理惯性传感器数据的数据处理引擎。 数据处理引擎包括用于接收传感器数据的第一输入端和用于接收定位数据的第二输入端。 数据处理系统还包括存储器和处理器。 数据处理系统的处理器耦合到存储器和第一和第二输入端。 数据处理系统的处理器被配置为从惯性传感器数据和定位数据计算净加速度曲线数据。 由数据处理系统的处理器计算的净加速度曲线数据用于全球定位系统(GPS)接收机,以随后计算位置和速度数据。
    • 3. 发明授权
    • Low-complexity tightly-coupled integration filter for sensor-assisted GNSS receiver
    • 用于传感器辅助GNSS接收机的低复杂度紧耦合集成滤波器
    • US08380433B2
    • 2013-02-19
    • US12568084
    • 2009-09-28
    • June Chul RohDeric W. WatersSrinath HosurGoutam Dutta
    • June Chul RohDeric W. WatersSrinath HosurGoutam Dutta
    • G01C21/10H04B7/185
    • G01S19/47G01C21/165G01C21/28G01C22/006G06F17/16
    • Embodiments of the invention provide a blending filter based on extended Kalman filter (EKF), which optimally integrates the IMU navigation data with all other satellite measurements tightly-coupled integration filter. This blending filter can be easily implemented with minor modification to the position engine of stand-alone GNSS receiver. Provided is a low-complexity tightly-coupled integration filter for sensor-assisted global navigation satellite system (GNSS) receiver. The inertial measurement unit (IMU) contains inertial sensors such as accelerometer, magnetometer, and/or gyroscopes Embodiments also include method for pedestrian dead reckoning (PDR) data conversion for ease of GNSS/PDR integration. The PDR position data is converted to user velocity measured at the time instances where GNSS position/velocity estimates are available.
    • 本发明的实施例提供了一种基于扩展卡尔曼滤波器(EKF)的混合滤波器,其将IMU导航数据与所有其他卫星测量紧密耦合的积分滤波器进行最佳集成。 这种混合滤波器可以通过对独立GNSS接收机的位置引擎的微小修改来轻松实现。 提供了用于传感器辅助的全球导航卫星系统(GNSS)接收机的低复杂度紧耦合集成滤波器。 惯性测量单元(IMU)包含诸如加速度计,磁力计和/或陀螺仪的惯性传感器。实施例还包括用于容易进行GNSS / PDR集成的行人航位推算(PDR)数据转换的方法。 PDR位置数据被转换成在GNSS位置/速度估计可用的时间点测量的用户速度。