Abstract:
Disclosed embodiments facilitate combining a plurality of wireless signal measurement sets with displacement measurements within some time interval of a position request to determine a User Equipment (UE) position. A first set of wireless signal measurements may be obtained from a first set of base stations at a first time at a first location. Subsequently, a second set of wireless signal measurements from a second set of base stations may be obtained at a second time at a second location distinct from the first location. A displacement measurement (e.g .a displacement vector) between the first location and the second location may be obtained. The position of the UE at the second location may then be determined based on the first and second sets of wireless signal measurements and the displacement measurement. In some embodiments, the first and second sets of wireless signal measurements may each be deficient measurement sets.
Abstract:
Method, mobile device, computer program product, and apparatus relating to beacon data collection. A user context at a mobile device may be obtained and a recommended configuration for beacon data collection can be determined according to the recommended configuration. A reliability metric may be determined as part of determining the recommended beacon collection configuration. The beacon data collection may include filter or weight to define when or how to send or collect beacon data and/or positioning data.
Abstract:
Disclosed are systems, methods and devices for application of determining position information for mobile devices. In specific implementations, measurement of a signal travel time and a signal's strength may be combined to characterize a transmission power of the signal's transmitter. The characterized transmission power may be applied to affect expected signal strength signature values for use of the signal's transmitter may be updated in order to enhance a location based service where location may be effected by accuracy of a transmitter's power.
Abstract:
Systems, apparatus and methods for preparing assistance data in a location server from coverage report messages of one or more access points from a plurality of mobile devices are presented. Several mobile devices each collect information from and about one or more access points. This crowd-sourced information is sent from a mobile device to a location server and may include ranging information (such as RSSI or RTT) and/or broadcast information (such as broadcast position and/or transmit power level) and/or computed information (such as path loss). Using this crowd-sourced information, the location server may form assistance data for an assistance data database, which may later be tailored for and send to a specific mobile device.
Abstract:
Examples disclosed herein relate to methods and apparatuses for observing signals transmitted by one or more transmitters in an asynchronous communication network and applying a time reference to generate a clock model. In one embodiment, parameters representing the clock model may then be forwarded to other mobile devices to assist in positioning operations.
Abstract:
A level 3 (L3) sparse network almanac (SNA) is generated using data from a base station almanac with information for a plurality of base stations. The information for base stations includes cell identifiers that include an L3 region code that is one layer above a cell tower identification level. Cell boundaries are determined from the base station information. The cell boundaries are used to estimate a region of coverage for the L3 SNA, which may be stored in a database. For example, region points may be generated from the cell boundaries, and used to estimate the region of coverage for the L3 SNA. The region of coverage may be determined, e.g., as a minimum enclosing circle or other similar techniques. The larger of an estimated region size parameter, e.g., a radius of a circle, and a default size may be used for the region of coverage.
Abstract:
A method for providing tiered indoor positioning service includes: receiving a request for assistance data from a mobile device; receiving expected quality of service information from the mobile device; generating an adaptive assistance data file comprising heat map data based at least in part on the received expected quality of service information; and transmitting the adaptive assistance data file to the mobile device.
Abstract:
Examples disclosed herein may relate to partitioning identity and/or position information for a plurality of wireless transmitters positioned within a geographical region into a plurality of sub-partitions.
Abstract:
Techniques are provided, which may be implemented via various methods, apparatuses, and/or articles of manufacture. For example, an electronic device may obtain an estimated location of a mobile device, determine a quality of a geometric distribution of transmitting devices capable of transmitting wireless signals to the mobile device at the estimated location, and assign an uncertainty to the estimated location. In certain implementations, an electronic device may further determine an adapted transmission setting for a transmitting device and transmit a corresponding message to the transmitting device. In certain implementations, an electronic device may identify adapted assistance data for the mobile device and transmit a corresponding message to one or more other electronic devices.
Abstract:
Systems and methods are disclosed for determining the floors on which APs are located for WiFi-based indoor positioning systems. A data collection phase is followed by a data analysis phase. During data collection, measurement data to observed APs may be collected from various locations on different floors. The measurements data may include received signal strength indication (RSSI), optional round-trip-time (RTT) data to the APs, and floor information of the measurement locations. Measurement data may also be collected from crowd sourced data without floor information of the measurement locations. In data analysis, the collected measurement data are analyzed using various algorithms to determine if APs belong to the same floor and to assign APs on the same floor to the same cluster. APs on different floors may thus be assigned to different clusters. If the floor information of the measurement locations is known, each cluster may be assigned a floor number.