An apparatus obtains information for radio channel modeling by checking at least one measurement based value of at least one set of measurement based values of a plurality of sets of measurement based values based on at least one timing measurement value, wherein each set of measurement based values originates from a respective mobile terminal in a communication network (111). The same or another apparatus may perform a radio channel modeling based on the obtained information (112).

Methods, systems, and computer program product for generating location fingerprint data for a venue are described. A sampling device surveying a venue can move inside the venue. While the sampling device moves, the sampling device can record environmental readings including, for example, strengths of signals from multiple radio signal sources. The sampling device can take the recording at fixed or various time intervals. Meanwhile, the sampling device can determine, based on a starting point and motion sensor readings, an estimated location of the mobile device for each time the sampling device takes the recordings. The sampling device can display a motion path of the estimated locations and a user interface item for receiving a user input for correcting the estimated locations. The sample device can tag the recorded environmental readings with the corrected locations, and submit the tagged readings to a server for determining a location fingerprint for the venue.

Methods, program products, and systems for building a location fingerprint database for a transit system are described. The transit system can be a subway system including underground train stations and routes where location determination using GPS signals is difficult or impossible. A sampling device can measure signals, e.g., radio frequency (RF) signals detected at the stations or on the routes. A location server can construct a location fingerprint for each of the stations and the routes. Each location fingerprint can represent expected signal measurements by a user device if the user device is located at the respective station or route. The location server can provide the location fingerprint to a user device for the user device to determine a location of the user device within the station or on the route.

Disclosed are various embodiments that enable the identification of the location of a computing device based on radio data. A radio map can be identified for an area. The computing device can measure signal strengths to reference points. The signal strengths can be compared to the radio map. The computing device can determine its location based on the comparison of the signal strengths to the radio map.

Device-free localization for smart indoor environments within an indoor area covered by wireless networks is detected using active off-the-shelf-devices would be beneficial in a wide range of applications. By exploiting existing wireless communication signals and machine learning techniques in order to automatically detect entrance into the area, and track the location of a moving subject within the sensing area a low cost robust long-term tracking system can be established. A machine learning component is established to minimize the need for user annotation and overcome temporal instabilities via a semi-supervised framework. After establishing a robust base learner mapping wireless signals to different physical locations from a small amount of labeled data; during its lifetime, the learner automatically re-trains when the uncertainty level rises significantly. Additionally, an automatic change-point detection process is employed setting a query for updating the outdated model and the decision boundaries.

Disclosed is a system for managing indoor positioning data of a site having a plurality of zones. The system comprises a plurality of sensors, forming at least one sensor network, operable to collect positioning data of the at least one communication device visiting the site and the plurality of sensors. The at least one sensor network comprises an exit point for forwarding the collected positioning data based on at least a pre-determined time and a status of the least one communication device. The system also comprises a processing unit having a positioning module for determining spatial position of the at least one communication device, a site-map module for calibrating installation positions for the plurality of sensors, a network configuration module for configuring the at least one sensor network to collect and forward the positioning data, and an analytics module for determining aggregated analytics data based on the determined spatial position.

A wireless locating system and method include receiving first messages at a server. The first messages include bed location data entered manually on a user interface of a first patient bed. The first messages also include signal strength data from a plurality of wireless access points in communication with the first patient bed. A first signal strength profile for the first patient bed at a first location is built by the server. The first patient bed is removed from the first location and a second bed is moved into the first location. The second patient bed does not have manual location data entry capability. A second signal strength profile is built by the server for the second patient bed. The server compares the second signal strength profile with the first signal strength profile and determines that the second patient bed is at the first location if the second signal strength profile matches the first signal strength profile.

Techniques are described for providing assistance data corresponding to a plurality of access points (APs). The techniques include, in part, providing assistance data to a mobile device. The assistance data comprises group data that is common among the plurality of APs. The group data is associated with a group identifier (ID). The techniques further include providing the group ID and a set of AP-specific information for at least one of the plurality of APs. The group data may include information corresponding to a common grid, common location area and/or common characteristics of the APs.

The present disclosure provides a method for radio frequency fingerprint database creation, a method for radio frequency fingerprint database application, a device, a centralized processing device and a base station. During creating a radio frequency fingerprint database, neighbor cell information statistics is performed on each of a plurality of neighbor cells of the cell in each of the plurality of divided grids, and an effective radio frequency fingerprint database corresponding to the cell is generated according to a result of the dividing and a result of the neighbor cell information statistics.

A method, apparatus and computer program product are provided to identify the floor of a building. In the context of a method, an image captured by a mobile device is received. The image includes a representation of a floor plan of the floor of the building. The method also includes comparing, with processing circuitry, the representation of the floor plan from the image to one or more predefined indoor maps of respective floors. Based upon the comparing, the method further includes identifying, with the processing circuitry, the floor depicted by the floor plan from the image captured by the mobile device.