公开(公告)号：US20150350849A1

公开(公告)日：2015-12-03

申请号：US14292859

申请日：2014-05-31

Applicant: Apple Inc.

Inventor： Joseph Ding-Jiu Huang ,  Abhinav R. Patel ,  Darin Tay ,  David Benjamin Millman ,  Jessica Noel Tsoong ,  Robert Mayor ,  Vitali Lovich

IPC: H04W4/04

CPC classification number: H04W4/04

Abstract: Methods, systems, and computer program product for location determination using dual statistical filters are described. A mobile device can determine a location of the mobile device using a particle filter and a Kalman filter. The particle filter can filter candidate locations of the mobile device using measurements of environment variables in the venue. The Kalman filter can filter inputs from a sensor of the mobile device for measuring angular movement of the mobile device. The particle filter and the Kalman filter can be linked by heading of the mobile device. Output of the Kalman filter can be used to determine where to place particles, or candidate locations, in a next iteration of the particle filter. Output from the particle filter can be used to determine a center mode of the Kalman filter and to determine a bias of the sensor for measuring angular movement.

Abstract translation: 描述了使用双统计滤波器进行位置确定的方法，系统和计算机程序产品。 移动设备可以使用粒子滤波器和卡尔曼滤波器来确定移动设备的位置。 粒子滤波器可以使用场地中环境变量的测量来过滤移动设备的候选位置。 卡尔曼滤波器可以对来自移动设备的传感器的输入进行滤波，以测量移动设备的角度运动。 粒子滤波器和卡尔曼滤波器可以通过移动设备的标题链接。 可以使用卡尔曼滤波器的输出来确定在粒子滤波器的下一次迭代中放置颗粒或候选位置的位置。 可以使用粒子滤波器的输出来确定卡尔曼滤波器的中心模式，并确定用于测量角运动的传感器的偏置。

公开(公告)号：US20150346317A1

公开(公告)日：2015-12-03

申请号：US14292853

申请日：2014-05-31

Applicant: Apple Inc.

Inventor： Abhinav R. Patel ,  Darin Tay ,  David Benjamin Millman ,  Jessica Noel Tsoong ,  Joseph Ding-Jiu Huang ,  Robert Mayor ,  Vitali Lovich

IPC: G01S5/02

CPC classification number: G01S5/0289 ,  G01S5/0252 ,  G01S5/0284 ,  G01S5/0294 ,  H04W4/02

Abstract: Methods, systems, and computer program product for deduplicating location fingerprint data for a venue are described. A system including a location server, or a mobile device, or both, can deduplicate the location fingerprint data. Deduplicating the location fingerprint data can include identifying correlated signal sources the signals of which are mutually dependent such that measurements of one signal source can be used to predict measurements of another. The system can determine a mutual information entropy value for each pair of signal sources, and identify the correlated signal sources based on high mutual information entropy value. The system can adjust weights of the correlated signal sources in location determination

Abstract translation: 描述了用于对场地进行重复数据删除位置指纹数据的方法，系统和计算机程序产品。 包括位置服务器或移动设备或两者的系统可以对位置指纹数据进行重复数据删除。 对位置指纹数据进行重复数据删除可以包括识别信号相互依赖的相关信号源，使得可以使用一个信号源的测量来预测另一信号源的测量。 该系统可以确定每对信号源的互信息熵值，并且基于高互信息熵值来识别相关信号源。 该系统可以在位置确定中调整相关信号源的权重