In accordance with the disclosed approach, positioning server(s) could receive, from mobile devices, information indicating a plurality of GNSS rescue areas, each respective GNSS rescue area of the plurality of GNSS rescue areas corresponding to a respective geographic area visited by a respective one of the mobile devices in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the respective mobile device had demand for positioning data of at least a particular quality level. Given this, the server(s) could generate a GNSS rescue map representing radio data for the plurality of GNSS rescue areas. In this way, the server(s) could transmit, to a mobile device, an offline radio map representing a subset of the GNSS rescue map, to provide radio data for at least one of the GNSS rescue areas or portion thereof.

Coordinated radio fine time measurement is provided via sending, from a client device, a ranging request to a first radio; receiving a first response sent at a first time from the first radio over a first channel; receiving a second response sent at the first time from a second radio over a second channel; and calculating, based on times of flight for the first response and the second response, a location of the client device relative to the first radio and to the second radio. Coordinated radio fine time measurement is also proved via in response to receiving, at an Access Point (AP), a ranging request from a client device and determining to respond using multiple channels: sending, both at a first time, a first response from a first radio over a first channel a second response from a second radio over a different channel.

Disclosed are techniques for navigating a mobile machine, such as an autonomous robot, in an environment that includes objects that may block, reflect, or distort satellite signals to be used for positioning. Satellite data may be captured from one or more satellites. An image may be captured using an imaging device that is at least partially oriented toward the one or more satellites. A set of sky scores may be calculated for a set of ground positions surrounding the mobile machine based on the satellite data and the image. Each of the set of sky scores may be indicative of an accuracy of a satellite-based position at one of the set of ground positions. The mobile machine's navigation may be modified using the set of sky scores.

Techniques for position estimation using uplink (UL) and downlink (DL) signals via a fully or partially reciprocal wireless channel between a User Equipment (UE) and terrestrial transceiver can be enhanced by leveraging information obtained from UL or DL signals having the stronger Signal-to-Noise Ratio (SNR). This information can include the number of paths and/or complex sinusoids, and can be shared with the base station or location server to parameterize the model of the wireless channel. In some embodiments, the UE can further determine a quality metric for the model and send it to the location server or terrestrial transceiver.

Recent decades have brought tremendous advances in communication systems which have given rise to the global proliferation of smartphones and other mobile communication systems. A signal processing system implements technical solutions for determining building footprints from inputs including signal data associated with mobile communication devices.

The present invention includes: a learning data generation unit (53) that acquires an expected value of a measured value of received power; a spatial distribution synthesis unit (54) that calculates an expected value of a measured value of received power when a radio wave is transmitted from any position in a target area; a likelihood calculation unit (55) that calculates a likelihood distribution that a radio wave source exists at each point of the target area; a position estimation unit (56) that estimates transmission power of a transmission source to be estimated, estimates a likelihood distribution at the transmission power, and estimates a position of the transmission source; and a display unit (57) that displays a spatial distribution of a conformity degree in the target area and a position of a maximum likelihood value and a position of a local maximum value of the likelihood calculated (55).

An environment estimation device 1 includes: an information storage unit 11 configured to store base station information in which a serving timing at which a mobile terminal 2 is served in a radio communication range of a base station 3 and environment information indicating an environment of the base station 3 are correlated; an information acquiring unit 10 configured to acquire position information including position data of the mobile terminal 2 acquired by positioning and a positioning timing; and an estimation unit 13 configured to estimate, based on the positioning timing included in the position information of the mobile terminal 2 acquired by the information acquiring unit 10 and the base station information stored in the information storage unit 11, an environment of the mobile terminal 2 at a position indicated by the position data included in the position information.

Techniques for map-aided satellite selection are provided. An example of a method for determining a location according to the disclosure includes determining a future trajectory of a user equipment, estimating an environment model associated with the future trajectory, determining a plurality of expected navigation satellites based on the future trajectory and the environment model, selecting a set of navigation satellites to use in computing the current location based in part on the plurality of expected navigation satellites, and computing the current location based on the selected set of navigation satellites.

Embodiments of wireless client transaction systems are described herein. Other embodiments and related methods are also disclosed herein.

Embodiments of the present disclosure provide a method, apparatus and computer program product for obstacle detection. A method implemented at a base station includes transmitting a positioning reference signal; receiving a transmission leakage signal and a reflection signal of the positioning reference signal; determining whether there exists an obstacle based on the reflection signal; and determining position information of the obstacle based on the transmission leakage signal and the reflection signal.