An apparatus or an add-on module for a, in particular mobile, device, is disclosed. In an embodiment, the device to be localized or the add-on module uses a measuring unit to measure, via suitable sensors, a local electromagnetic field distribution generated by a given infrastructure. An instantaneous position of the add-on module or of the device equipped therewith is then determined by comparing the measured field distribution with a specified map. In order to facilitate tracking of the add-on module or of the device, the measured field distribution and/or the determined position can be sent via a wireless data connection to a server unit.

Disclosed are systems, methods, and non-transitory media for performing passive radio frequency (RF) location detection operations. In some aspects, RF data, such as RF signals including channel state information (CSI), can be received from a wireless device. The RF data can be provided to a self-supervised machine-learning architecture that is configured to perform three-dimensional (3D) object location estimation.

An indoor geolocation system for determining a location in three-dimensional space includes a plurality of base stations and a mobile device movable about an indoor environment in three dimensions. The mobile device detects electromagnetic signals in the indoor environment emitted by devices other than the base stations, and generates a signal profile based on the signals. The mobile device transmits the signal profile to one or more of the base stations, which forward the signal profile to a remote server. The system determines a location of the in three-dimensional space of the mobile device by comparing the signal profile to data regarding signal profiles at a plurality of locations in the indoor environment. The data regarding signal profiles in the indoor environment may have been captured by a detection device other than the mobile device at a time prior to the detection of the electromagnetic signals by the mobile device.

Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

A method of operating an indoor location services system includes providing a calibration beacon signal from a calibration device at a number of calibration locations, measuring a received signal strength of the calibration beacon signal at each one of a number of receivers for each one of the number of calibration locations, measuring a received signal strength of a beacon signal provided by a locatable device at each one of the receivers, and estimating a location of the locatable device based on the received signal strength of the beacon signal at each one of the receivers, the received signal strength of the calibration beacon signal at each one of the receivers for each one of the calibration locations, and a location of each one of the receivers.

Techniques for generating a prediction for a location of a mobile device includes a network controller obtaining signal strength information and angle-of-arrival information for mobile devices from a plurality of access points disposed at a location that includes two or more zones. The network controller extracts features from the obtained information. The features indicate whether the mobile devices are more likely in a first zone than in one or more of second zones of the two or more zones. The network controller generates a software model for classifying a mobile device into one of the two or more zones by applying a computer learning process to the extracted features. The network controller uses the software model to generate a prediction indicating that a first mobile device is in one of the two or more zones, and performs an action at the location based on the prediction.

An information processing apparatus includes a memory, and a processor coupled to the memory and configured to obtain location information indicating locations of a wireless transmitter and a wireless receiver, simulate a first power of a first reception signal at the wireless receiver in a condition that a radio signal is transmitted from the wireless transmitter, identify a first probability distribution model in accordance with the first reception signal, identify a first parameter of the first probability distribution model in accordance with the first power and a propagation environment defined by the locations of the wireless transmitter and the wireless receiver indicated by the location information, and based on the first probability distribution model using the first parameter, simulate a second power of a second reception signal at around the wireless receiver.

An indoor geolocation system for determining a location in three-dimensional space includes a plurality of base stations and a mobile device movable about an indoor environment in three dimensions. The mobile device detects electromagnetic signals in the indoor environment emitted by devices other than the base stations, and generates a signal profile based on the signals. The mobile device transmits the signal profile to one or more of the base stations, which forward the signal profile to a remote server. The system determines a location of the in three-dimensional space of the mobile device by comparing the signal profile to data regarding signal profiles at a plurality of locations in the indoor environment. The data regarding signal profiles in the indoor environment may have been captured by a detection device other than the mobile device at a time prior to the detection of the electromagnetic signals by the mobile device.

A method of operating an indoor location services system includes providing a calibration beacon signal from a calibration device at a number of calibration locations, measuring a received signal strength of the calibration beacon signal at each one of a number of receivers for each one of the number of calibration locations, measuring a received signal strength of a beacon signal provided by a locatable device at each one of the receivers, and estimating a location of the locatable device based on the received signal strength of the beacon signal at each one of the receivers, the received signal strength of the calibration beacon signal at each one of the receivers for each one of the calibration locations, and a location of each one of the receivers.

Systems and methods can support determining a physical position of wireless devices. Radio frequency sensors may be positioned within an electromagnetic environment where user equipment devices are serviced by a base station. The radio frequency sensors can receive wireless downlink signals transmitted from the base station to the user equipment devices. Network identifiers may be extracted from the received wireless downlink signals. User equipment devices may be associated with the extracted network identifiers. Radio channel allocations may be determined for the extracted network identifiers. The radio frequency sensors can receive wireless uplink signals transmitted from the user equipment devices to the base station. Signal strength indicators from the received wireless uplink signals can be associated with the extracted network identifiers. Physical positions of the user equipment devices can be determined by analyzing the associated signal strength indicators.