Abstract:
A method and system is described where a plurality of position reference devices use short-range wireless communication protocols to transmit positioning assistance data to nearby mobile devices, and the mobile devices use the assistance data to re-calibrate their positioning systems. In some embodiments, mobile device includes an accelerometer and the accelerometer measurements are used to calculate an updated velocity of the mobile device and an updated position of the mobile device based on the accelerometer measurements and previous velocity and position of the mobile device. The short-range communication methods include NFC, RFID, Bluetooth®, short-range 802.11, Wi-Fi Direct, and high frequency focused beams such as 60 GHz. The position reference devices are passive or active NFC tags, passive or active RFID tags, other devices that include such tags as their components, Bluetooth®-enabled devices, 60 GHz-enabled devices, and 802.11 access points that can lower their transmit power.
Abstract:
Techniques are disclosed for determining measurement uncertainty of and/or multipath effects on positioning measurements, based on the residual deviations between timing measurements and high-accuracy location results. An example method begins with collecting (510) a plurality of timing measurements or ranging measurements, or both, each measurement corresponding to at least one anchor node antenna having a known location. A measurement deviation is determined (520) for each measurement by comparing the measurement to a corresponding reference location. The measurement deviations are used (530) to estimate measurement quality for one or more subsequent positioning measurements, and/or uncertainty associated with one or more subsequent positioning estimates, and/or an effect of multipath on subsequent positioning measurements or estimates. In some embodiments, a covariance matrix is calculated from the measurement deviations and is used to determine statistical information or multipath effects for measurements corresponding to a particular one of the anchor node antennas.
Abstract:
In one embodiment, scanning data is received for wireless access points whose wireless signals were observed by the one or more scanning devices in a target area. For each group of scanning data that shares a common identifier of a Wi-Fi access point, a centroid of the scanning data is determined, a set of scanning data of the group that exceeds a threshold distance from the centroid is designated as having potential error, and a location of the Wi-Fi access point is calculated. The calculated location of the Wi-Fi access point for each group of scanning data is stored in a reference database. Upon receiving a request for a location of a mobile device, an identity of one or more Wi-Fi access points in range of the mobile device is determined, and the location of the mobile device is computed using calculated locations from the reference database.
Abstract:
An example method includes identifying a link that is one of a plurality of links of a wireless locating system, the link being defined by at least a reference signal source, a first receiver unit, and a second receiver unit; determining a reliability metric for signal transmission via a link based on first link data, the link data describing first reference signal events for the link; and modifying the reliability metric based on second link data describing second reference signal events for the link, wherein modifying the reliability metric includes: determining whether the second link data is consistent with the first link data; adjusting the reliability metric using a first function when the second link data is consistent with the first link data; and adjusting the reliability metric using a second function different than the first function when the second link data is inconsistent with the second link data.
Abstract:
The present invention relates to a system and method for positioning and navigation using hybrid spectral compression and cross correlation signal processing of signals of opportunity, which may include Global Navigation Satellite System (GNSS) as well as other wideband energy emissions in GNSS obstructed environments. Examples of these signals of opportunity include but are not limited to GPS, GLONASS, cellular Code Division Multiple Access (CDMA) communications signals, and 802.11 Wi-Fi. Combining spectral compression with spread spectrum cross correlation enables extraction of code and carrier observables without the need to implement the tracking loops (e.g. Costas tracking loop) commonly used in conventional GNSS receivers. For applications where dynamics and transmission medium may make it difficult to continuously track carrier phase, the hybrid approach of the present invention has significant utility.
Abstract:
A method, non-transitory computer readable medium and timing computing device for subnanosecond time synchronization. A difference between synchronized measurements of one of a plurality of satellite signals from a reference receiver and another receiver for each of N values within a cycle is determined. A clock bias error is calculated for each of the N values. The calculated clock bias errors are stored in a vector over time for each of the N values, with one of the vectors for each of the N values. A trajectory of the vectors over time is determined. The one of the vectors with a best convergence over time is selected. A timing signal is adjusted based on the N value for the selected one of the vectors with the best convergence over time.
Abstract:
In one embodiment, a technique is provided for estimating and using an expected error of a position estimate of a wireless local area network (WLAN)-enabled mobile device. The WLAN-enabled mobile device received signals transmitted by a plurality of WLAN access points that are in range. A position of the WLAN-enabled mobile device is estimated based on the signals from one or more of the plurality of WLAN access points. An expected error of the position estimate is estimated based on a combination of correlated parameters, such as a spatial spread of geographic positions of the one or more WLAN access points, the signal coverage areas of the one or more WLAN access points, and a number of the one or more WLAN access points. Based on the expected error, the position estimate may be weighted or excluded from use in deriving a position, speed, or direction of travel.
Abstract:
A method for correcting for refraction effects of the earth's atmosphere in an emitter geolocation technique for locating an emitter of electromagnetic waves, by way of a plurality of receivers, includes detecting the times of arrival of electromagnetic waves at the receivers, computing the relative time differences of arrival between the various receivers and estimating therefrom the position of the emitter, and, for correcting, by way of an iterative procedure, the detected times of arrival for path length discrepancies caused by refraction in the earth's atmosphere. The receivers are each mounted on a respective airborne platform, and at least three pairs of the receivers are provided.
Abstract:
Determining a location estimate of a wireless communications device can depend on the dynamic and/or static state of the device. Compensation processing is applied to a location estimate (or to information from which such an estimate is derived, in use) if required, given the dynamic and/or static state of the device.
Abstract:
A method of identifying a location of a mobile device in a building includes identifying non-overlapping regions in a building. A server collects base station signal strength measurements at a plurality of distinct points in the building, with at least one point in each region. The server trains region classifiers for each region. Each region classifier is configured to compute a probability estimate that the test point is inside the region, using inputs that are signal strength differences. The server receives signal strength measurements from the base stations, taken by a mobile device at an unknown point. The server computes differences in signal strengths between pairs of base stations, and applies the region classifiers to the signal strength differences, thereby estimating the region where the mobile device is located. The server then transmits the estimated region to a user.