A method of estimating a geographic location of a mobile device configured to communicate using a telecommunications network comprising a plurality of cells is provided. The method comprises obtaining one or more data records from the mobile device, wherein each data record comprises a plurality of signal measurements and respective cell identifiers, wherein each signal measurement relates to a signal received by the mobile device from a cell of the plurality of cells attributed with the respective cell identifier. The method further comprises, for each data record, generating an ordered list of signal properties comprising the plurality of signal measurements, wherein each signal property in the ordered list of signal properties is correlated with a corresponding cell identifier assigned to the cell from which the signal was received, based on an index of the signal property in the ordered list of signal properties. The method further comprises, for each data record, estimating the geographic location of the mobile device based on theordered list of signal properties.

An information indication method, an information indication apparatus and a communication device are provided. The method includes: obtaining first quality indication information according to first measurement metrics; reporting the first quality indication information; wherein, the first quality indication information includes at least one of following: indication information of carrier phase continuity, indication information of half cycle ambiguity, indication information of an error indication value, indication information of an error resolution, indication information of a carrier signal quality, indication information of a quantity of error sampling points, and indication information of a measurement confidence level.

A system and method for estimating a geolocation. The method includes tessellating a coverage area into a camping cell and adjacent cells; subdividing the camping cell into grid points where each grid point of the grid points has an associated relative offset from a camping beam center; illuminating, with a platform, the camping cell with a camping beam and each of the adjacent cells with adjacent beams; receiving a camping beam signal strength and adjacent beams signal strengths for each grid point of the grid points; profiling, at each grid point of the grid points, ratios of the camping beam signal strength to each one of the adjacent beams signal strengths; mapping the ratios and the associated relative offset of each grid point of the grid points; and estimating a relative geolocation of a User Terminal (UT) from the camping beam center based on a UT camping beam signal strength and UT adjacent beams signal strengths.

An arrangement for determining a location of a base station by user equipment uses measurements of reference signals of a base station from different user equipment positions. The measurement results are preprocessed and then provided to a machine learning entity. The machine learning entity estimates the location of the base station and provides the estimated location for use in other functionality of the user equipment.

A hybrid distributed estimation system (DES) jointly tracks states of a plurality of moving devices configured to transmit measurements indicative of a state of a moving device and an estimation of the state of the moving device derived from the measurements. The hybrid DES selects between the measurements and the estimations, and based on this selection activates different types of DESs configures to jointly track the states of the moving devices using different types of information. Next, the hybrid DES tracks the states using the activated DES allowing track the state by different DES at different instances of time.

A computer implemented method of naming a smart wireless device includes detecting a first other wireless device, determining that the first other wireless device is likely in a same area of an environment, obtaining a first name of the first other wireless device, and generating a name for the smart wireless device as function of the first name of the first other wireless device in response to the first other wireless device having been determined to be in the same area of the environment.

Disclosed are embodiments for estimating risk associated with a user of a wireless device. In some embodiments, the risk relates to a risk of infection by a contagious disease. For example, in some embodiments, the contagious disease is Coronavirus 2019. In some embodiments, locations of multiple wireless devices are estimated based on signal strengths of signals associated with the devices. Neighboring devices are identified based on highest probability regions of the devices that are determined based on associated signals. A measure of proximity to other devices is then determined based on probabilities that each device is located in neighboring regions. The risk is then based on the measure of proximity. In some embodiments, a risk of a first user associated with a first wireless device is based, in part, on a risk of a second user within a proximity of the first user.

The present disclosure provides a mechanism for making it possible to efficiently determine an optimal configuration set for one or more sensors for use for estimating the state of an object. Information processing apparatus is provided, which includes an obtaining unit configured to obtain a spatial distribution model of accuracy of estimation related to a state of an object, performed using one or more sensors, a calculation unit configured to calculate a representative statistic for evaluating the accuracy of estimation based on the spatial distribution model obtained, and an optimization unit configured to determine an optimal set of sensor configurations for the one or more sensors based on representative statistics calculated respectively for different sets of sensor configurations for the one or more sensors.

An apparatus obtains a set of radio data comprising signal strength related values for radio signals transmitted by a transmitter with an association of each signal strength related value with a representation of a geographical location. The apparatus applies a frequency transform to the obtained set of radio data to obtain transform coefficients, each transform coefficient comprising a transform index and an associated transform value. The apparatus selects a subset of transform indices having more significant transform values than the remaining transform indices and compresses the transform indices by encoding each transform index exploiting a probability of occurrence of an index value of a respective transform index. The same or another apparatus decodes the compressed transform indices again for use in position operations.

Techniques are provided for emitter geolocation. A methodology implementing the techniques according to an embodiment includes measuring phase differences between radar signals received at one or more pairs of antennas. The method also includes calculating hypothesized phase differences based on ray tracings from hypothesized emitter locations at a first set of grid points, to the antennas. The method further includes generating scores based on correlations between the measured phase differences and the hypothesized phase differences. The method further includes generating an error ellipse based on candidate grid points associated with scores that are above a threshold. The process may be repeated on a second set of grid points, bounded by the error ellipse, to generate a second set of scores. The grid point, from the second set of grid points, that is associated with the highest of the second set of scores is selected as the estimated emitter geolocation.