A mobile wireless network and a method of operation provide directional assistance in response to an Internet query. The directional assistance is provided from a location of the querying device to a destination that may be selectively prompted based on whether the destination is a nearby business, a type of business, a street address, or another mobile device or fixed telephone location. An indication of location of the querying device is also selectively obtained depending on whether the querying device is a wireless device such as a mobile telephone, or whether the device has a presumed fixed location, such as an ordinary telephone connected to a public-switched telephone network (PSTN).

It is inter-alia disclosed method performed by an apparatus, said method comprising: determining a plurality of potential installation positions for installing a plurality of monitoring and/or controlling apparatuses in a predetermined environment at least partially based on a radio coverage map for said predetermined environment, wherein each monitoring and/or controlling apparatus of said plurality of monitoring and/or controlling apparatuses is configured for monitoring and/or controlling one or more radio positioning support devices of a plurality of radio positioning support devices, and wherein said radio coverage map contains or represents a respective radio coverage model for each radio position support device of said plurality of radio positioning support devices.

Time and effort to generate an electric field map to realize high-accuracy positioning is reduced. In an electric field map generation device (10) that generates an electric field map in which RSSI obtained when radio waves transmitted from a beacon (60) are observed at each of a plurality of points in the same space is associated with each of coordinates at the plurality of points, a radio wave strength acquisition unit (12) acquires RSSI observed at each of at least three observation points different in distance from the beacon (60), a space propagation characteristics estimation unit (14) estimates space propagation characteristics of the radio waves transmitted from the beacon (60) in the same space using the acquired RSSI at the observation points, a radio wave strength estimation unit (16) estimates RSSI at estimation points on the basis of the estimated space propagation characteristics and distances between the estimation points different from the observation points and the beacon (60), and a generation unit (18) generates the electric field map (26) using the RSSI at the observation points and the estimation points.

Disclosed are embodiments for determining a location of a device based on phase differences of a signal received from the device. In some embodiments, expected phase differences for signals transmitted from a plurality of regions are determined. The expected phase differences are those differences of the signal when received at each of a plurality of receive elements of a receiving device. By comparing phase differences of a signal received from the device to the expected phase differences, a location of the device is determined.

A mobile device collects data, which enables a generation of a radio map for a site. The collection comprises detecting at least one indication of a floor, at which a user is located, in a user input; and performing measurements on radio signals to obtain for each of a plurality of locations of the site a set of characteristics of radio signals. The mobile device receives, during the collection of data, data from a barometer, verifies a most recent indication of a floor in a user input based on changes in the data from the barometer, and outputs a warning to the user in the case of a discrepancy. The mobile device associates each set of characteristics with a floor indicated by a user. The mobile device provides the sets of characteristics and their association with a floor for a generation a radio map supporting a positioning at the site.

A communication system using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. The states of the environments for each environment including, locations of physical objects and types of behavior of ambient users. Control circuitry performs beam training with a target device in environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, one of a state of the target device or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

A system for establishing positioning map data and a method for the same are provided. The method includes: obtaining an area map of a target area; setting collection points and a collection path; configuring a Wi-Fi fingerprint collecting device to obtain the area map, the collection points and the collection path; configuring an environmental sensing module to perform environmental sensing on surrounding environment to obtain environmental information; performing a positioning procedure to determine a location of the Wi-Fi fingerprint collecting device in the target area based on the environmental information and the area map to generate positioning information; executing a navigation procedure to move the Wi-Fi fingerprint collecting device along the collection path; determining whether or not the Wi-Fi fingerprint collecting device passes through one of the collection points; and executing a collection procedure to store collected Wi-Fi fingerprint data and positioning information to create positioning map data.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

A positioning system and a positioning method based on WI-FI® fingerprints are provided. The method includes obtaining positioning map data; performing a clustering processing process to allocate collected data into reference groups in a target area according to collection coordinates; calculating metadata of WI-FI® access points; serving the metadata as a filtering condition related to an identification rate, and extracting WI-FI® fingerprint data with relatively high identification rate; establishing a machine learning model for estimating a relevant position based on the fingerprint data of the WI-FI® access points, and training the machine learning model with extracted WI-FI® fingerprint data and corresponding spatial coordinates to generate a trained machine learning model; configuring a communication module to receive WI-FI® fingerprint data collected by a wireless device; and configuring the trained machine learning model to estimate, according to the WI-FI® fingerprint data collected, the relevant position.

A positioning support device holds available stored data which enables a determination of characteristics of radio signals transmitted by the positioning support device, wherein the characteristics of radio signals are expected to be observable at different locations. The positioning support device automatically and repeatedly transmits the stored data. Mobile devices may receive the data to estimate their position based on the data and based on measurements on radio signals received at their current location. The positioning support device may be caused by some other apparatus to store the data that is transmitted by the positioning support device. The data may be obtained based on characteristics of radio signals observed by at least one mobile device at each of a plurality of measurement locations.