Abstract:
In one aspect, a method includes performing, by a wireless station, a fine timing measurement (FTM) procedure that includes exchanging one or more FTM messages between the wireless station and an access point to obtain a first round-trip time (RTT) between the wireless station and the access point. The method also includes performing, by the wireless station, a non-FTM procedure to obtain a second RTT between the wireless station and the access point. The wireless station then calculates a turn-around calibration factor (TCF) estimate of the access point based on a difference between the second RTT and the first RTT. Data representative of the TCF estimate of the access point may then be sent to a server.
Abstract:
Methods, systems, computer-readable media, and apparatuses for mapping multiple antenna systems using crowdsourcing data are presented. One disclosed example method includes the steps of detecting a condition associated with transmission of a plurality of wireless signals that are indistinguishable in content using multiple antennas dispersed at different locations and indicative of a base station as a common transmitter; and in response to detecting the condition, identifying the base station as ineligible for providing signals for use with a range-based positioning technique.
Abstract:
Disclosed are methods, devices, systems, apparatus, servers, computer-/processor-readable media, and other implementations, including a method, performed at a first processor-based wireless device, that includes obtaining by the first wireless device a communication comprising antenna information for one or more antennas of a second wireless device, determining at the first wireless device signal strength values for signals transmitted from the second wireless device, and performing location determination operations based on the determined signal strength values for the signals transmitted from the second wireless device, and on the antenna information for the one or more antennas of the second wireless device.
Abstract:
Techniques for determining the position of a mobile device using almanac data are provided as are techniques for providing almanac data to the mobile device from a location server. The almanac data can be provided to the mobile device based on coarse location information provided by the mobile device. The almanac data can include information Media Access Control (MAC) addresses of one or more wireless access points and most recently used channel identification. The almanac data can also be binned by location by the location server and a subset of the almanac data can be selected to be provided to the mobile device based on the coarse location of the mobile device and on positioning effectiveness criteria associated with the wireless access points included in the almanac data.
Abstract:
Approaches for enhancing range-based position determination using pairwise error detection and compensation are provided. One method for enhancing a position estimate of a first node may include performing measurements at the first node using a signal received from a second node, and receiving measurements from the second node. The received measurements may be performed at the second node using a signal provided by the first node. The method may further include determining pairwise comparisons of the performed measurements and the received measurements, and compensating the measurements performed at the first node, based on the pairwise comparisons, for estimating the position of the first node. Systems and apparatuses for performing the various position determination methods are further presented.
Abstract:
Method, apparatus and computer program product for monitoring wireless wide area network almanac integrity in a wireless wide area network are disclosed. In one embodiment, the method comprises receiving crowdsourcing data from a plurality of mobile devices, determining a change to a wireless wide area network almanac using the crowdsourcing data, and updating a database in accordance with the change to the wireless wide area network almanac.
Abstract:
Systems and methods of network based positioning include a server configured to assign priority levels to mobile devices locatable within the network, and allocate network resources for network based positioning of the locatable mobile devices, based on the corresponding priority levels assigned to the mobile devices. The server may further be configured to admit only a selected subset of the locatable mobile devices into the network for purposes of network based positioning and deny admission to the remaining locatable mobile devices, wherein the selected subset can be determined based on an attribute of the mobile device and/or a characteristic of the user of the mobile device.
Abstract:
Disclosed are systems, apparatus, devices, methods, media, products, and other implementations, including a method that includes determining a phase difference for a wireless signal detected by a first of at least two antennas of a receiver and by a second of the at least two antennas, determining an orientation of the receiver based on information obtained from one or more sensing devices coupled to the receiver, and determining a direction, relative to an external frame of reference, at which the wireless signal arrives at the receiver based on the determined phase difference and the orientation of the receiver determined from the information obtained from the one or more sensing devices coupled to the receiver.
Abstract:
Methods and apparatus for processing positioning assistance data are provided. An exemplary method includes receiving, from a positioning server, virtual access point (VAP) data including a list of unique identifiers, and determining a location of a mobile device by using the VAP. The VAP data indicates that the unique identifiers included on the list identify signals originating from the same physical access point. The unique identifiers can be MAC addresses. In an example, the location determining the can include actively scanning a signal identified by a unique identifier on the list and not actively scanning a different signal identified by a different unique identifier also on the list. Not scanning the other MAC addresses that are on the access point's list and assigned to the mobile device keeps the mobile device from performing duplicative scanning that wastes time, processor cycles, and energy.
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.