Abstract:
Described herein are techniques to enable a mobile device to determine a Z-axis coordinate based on altitudes associated with Wi-Fi access points detected in a Wi-Fi scan by the mobile device. One embodiment provides for an electronic device configured to compute a weighted average of Z-axis coordinates associated with detected Wi-Fi access points and determine a Z-axis coordinate for the electronic device based on the weighted average.
Abstract:
Described herein are techniques to enable a mobile device to determine a Z-axis coordinate based on altitudes associated with Wi-Fi access points detected in a Wi-Fi scan by the mobile device. One embodiment provides for an electronic device configured to compute a weighted average of Z-axis coordinates associated with detected Wi-Fi access points and determine a Z-axis coordinate for the electronic device based on the weighted average.
Abstract:
Embodiments described herein provide for an electronic device comprising a set of classifiers that can determine whether the electronic device is likely on an airplane. Upon a determination that the electronic device is likely on an airplane, one or more wireless radios on the electronic device (e.g., an ultra-wideband ranging radio, a cellular radio, etc.) may be disabled or a prompt can be displayed to enable a user to place the device into airplane mode.
Abstract:
A method for identifying a suggested application on a mobile device is disclosed. The method includes detecting an event, determining a first location of the mobile device, identifying that the first location is within a first location region of a plurality of predetermined location regions, and then measuring one or more sensor values at one or more times. The measured sensor values may then be used to create a first-data point. In response to identifying the first location region, a plurality of clusters of data points may be retrieved. A first cluster of the plurality of clusters corresponding to the first data point may then be identified. The method may further include identifying a set of one or more applications, and then providing a message to the user based on the identified set of one or more applications.
Abstract:
Methods and apparatuses to assist a global positioning system (GPS) module to determine GPS position estimates for a wireless communication device is disclosed. Processing circuitry in the wireless communication device determines a potential or an actual inaccuracy in a GPS position estimate obtained from a GPS module. The processing circuitry obtains a set of map vector data stored in or associated with the wireless communication device. The processing circuitry determines a location estimate of the wireless communication device based on at least a portion of the set of map vector data. The processing circuitry provides the location estimate to the GPS module and obtains an updated GPS position estimate from the GPS module, the updated GPS position estimate based at least in part on the location estimate provided to the GPS module.
Abstract:
Apparatus and methods for estimating a location of a wireless device in communication with a wireless network, such as an LTE/LTE-A network, based at least in part on WLAN/WPAN AP measurements and/or barometric measurements are disclosed. The wireless device responds to a location capability inquiry from the wireless network by providing a response that indicates the wireless device is configurable to estimate its location based on WLAN/WPAN AP and/or barometric measurements. The wireless network sends WLAN/WPAN AP and/or barometric reference information to the wireless device to assist in estimating its location. The wireless device measures one or more WLAN/WPAN APs, and the wireless device uses the WLAN/WPAN AP and/or barometric measurements to estimate its location. In some embodiments, GPS/GNSS information is used in conjunction with WLAN/WPAN AP and/or barometric measurements to estimate the location of the wireless device.
Abstract:
Apparatus and methods for estimating a location of a wireless device in communication with a wireless network, such as a UMTS network, based at least in part on WLAN/WPAN AP measurements and/or barometric measurements are disclosed. The wireless device responds to a location capability inquiry from the wireless network by providing a response that indicates the wireless device is configurable to estimate its location based on WLAN/WPAN AP and/or barometric measurements. The wireless network sends WLAN/WPAN AP and/or barometric reference information to the wireless device to assist in estimating its location. The wireless device measures one or more WLAN/WPAN APs, and the wireless device uses the WLAN/WPAN AP and/or barometric measurements to estimate its location. In some embodiments, GPS/GNSS information is used in conjunction with WLAN/WPAN AP and/or barometric measurements to estimate the location of the wireless device.
Abstract:
A mobile device adjusts the extents to which it depends on various satellites to estimate its global position based on the predicted probability for each such satellite that a ray extending from that satellite to the mobile device is obstructed by a building. The mobile device can predict the probabilities of building obstructions based on a digital model of the environment in which the mobile device is estimated to be. The mobile device weights the extent of uncertainty for each satellite's global positioning data based on the predicted probability of obstruction for that satellite. Using these weighted uncertainties, the mobile device selects the extents to which it relies on each satellite's global positioning data when estimating the mobile device's current global position.
Abstract:
A wireless electronic device may include wireless communications circuitry and processing circuitry. The wireless communications circuitry may receive radio-frequency signals from external communications circuitry in a number of frequency channels of a communications band. The processing circuitry may gather received signal quality data such as receive signal strength indicator (RSSI) values from the radio-frequency signals received in each of the frequency channels. The processing circuitry may accumulate respective probability distributions of gathered RSSI values for each frequency channel and may compare each of the probability distributions to generate RSSI offset values for each frequency channel. The processing circuitry may gather additional RSSI values in one or more frequency channels and may adjust the additional RSSI values based on the associated RSSI offset values. The processing circuitry may use the adjusted RSSI values to determine an accurate location of the wireless electronic device.
Abstract:
A mobile device adjusts the extents to which it depends on various satellites to estimate its global position based on the predicted probability for each such satellite that a ray extending from that satellite to the mobile device is obstructed by a building. The mobile device can predict the probabilities of building obstructions based on a digital model of the environment in which the mobile device is estimated to be. The mobile device weights the extent of uncertainty for each satellite's global positioning data based on the predicted probability of obstruction for that satellite. Using these weighted uncertainties, the mobile device selects the extents to which it relies on each satellite's global positioning data when estimating the mobile device's current global position.