Abstract:
Devices and methods for pedestrian navigation are disclosed. In an embodiment, a device includes an accelerometer sensor configured to sense acceleration components associated with a device motion in a plurality of axes of the accelerometer sensor. The acceleration components include stride frequency components and step frequency components. The device includes a processing module communicably associated with the accelerometer sensor. The processing module is configured to process at least a portion of the acceleration components to determine an estimated attitude associated with the device motion with respect to the accelerometer sensor. The processing module is configured to filter out the step frequency components by blocking the stride frequency components. The processing module is further configured to determine the estimated attitude based on the step frequency components to thereby mitigate a bias in the estimated attitude associated with a lateral sway of the device motion.
Abstract:
A positioning server has a positioning database. The positioning database is configured to store information relating wireless local area network (WLAN) access point (AP) signal measurements to points of a geographic positioning grid. motion information provided by dead-reckoning systems of a plurality of wireless devices and reference location information provided by at least one of a satellite positioning system and a wireless local area network (WLAN) positioning system of each wireless device is also stored. WLAN access point (AP) signal measurements acquired by each wireless device in correspondence with the motion information is stored as are non-causally determine positions of the wireless devices based on the motion information and reference locations. Positioning server is also configured to generate a geographic positioning grid that relates the AP signal measurements to points of the positioning grid based on the determined positions.
Abstract:
A system for crowd-sourced fingerprinting has a positioning database and a mobile wireless device. The positioning database is configured to store information relating wireless local area network access point (AP) signal measurements to points of a geographic positioning grid. The mobile wireless device has a satellite positioning system, a transceiver, a motion measurement system, and position estimation logic. The position estimation logic is configured to determine a reference location as the device passes between areas of satellite positioning signal reception and satellite positioning signal non-reception. The device further configured to record measurements of movements provided by the motion measurement system and measurements of signals provided by the transceiver within areas of non-reception and to provide results to the positioning database.
Abstract:
A system comprises a plurality of sensors, a sensor processor, and a sampling rate engine. The sensor processor is coupled to an output of each sensor of the plurality of sensors. The sensor processor estimates user dynamics in response to a first output signal of a first sensor of the plurality of sensors. The sampling rate engine is coupled to an output of the sensor processor./ The sampling rate engine determines a sampling rate value of a second sensor of the plurality of sensors in response to a user dynamics value from the sensor processor. The second sensor comprises a selectable sampling rate. The selectable sampling rate is configured in response to the sampling rate value determined by the sampling rate engine.
Abstract:
At least some of the embodiments are methods including detecting low user dynamics by a first MEMS sensor, determining a first sensor sampling rate value corresponding to the low user dynamics wherein the first sensor sampling rate value is less than a second sensor sampling rate value corresponding to high user dynamics, and adjusting a sampling rate of a second MEMS sensor to the first sensor sampling rate value.
Abstract:
A user-heading determining system (10) for pedestrian use includes a multiple-axis accelerometer (110) having acceleration sensors; a device-heading sensor circuit (115) physically situated in a fixed relationship to the accelerometer (110); an electronic circuit (100) operable to generate signals representing components of acceleration sensed by the accelerometer (110) sensors, and to electronically process at least some part of the signals to produce an estimation of attitude of a user motion with respect to the accelerometer, and further to combine the attitude estimation (750, α) with a device heading estimation (770, ψ) responsive to the device-heading sensor circuit, to produce a user heading estimation (780); and an electronic display (190) responsive to the electronic circuit (100) to display information at least in part based on the user heading estimation. Other systems, circuits and processes are also disclosed.
Abstract:
A system for crowd-sourced fingerprinting has a positioning database and a mobile wireless device. The positioning database is configured to store information relating wireless local area network access point (AP) signal measurements to points of a geographic positioning grid. The mobile wireless device has a satellite positioning system, a transceiver, a motion measurement system, and position estimation logic. The position estimation logic is configured to determine a reference location as the device passes between areas of satellite positioning signal reception and satellite positioning signal non-reception. The device further configured to record measurements of movements provided by the motion measurement system and measurements of signals provided by the transceiver within areas of non-reception and to provide results to the positioning database.