A system for determining a position of a user in a building includes a control device, a plurality of stationary radio signal transmission devices, a radio signal receiving device, and a signal processing device. The signal processing device determines primary channel impulse responses based on the radio signals received by the receiving device. The signal processing device also determines a secondary channel impulse response based on a secondary radio signal received by the receiving device from a mobile device of a user. The channel impulse responses are evaluated to determine degrees of similarity that indicate how similar a first primary channel impulse response and the secondary channel impulse response are to one another. For each degree of similarity, a distance of the mobile device from the transmission device corresponding to the degree of similarity is determined. A position of the mobile device is determined based on the distances.

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.

The present invention relates to a similarity metric customized to radio measurement in heterogeneous wireless networks and to the use of the similarity metric. Radio measurement values reflecting radio access conditions during different measurement time intervals for at least one mobile terminal having radio access to the heterogeneous multi-carrier network are aggregated into radio measurement scans. Further, for every radio measurement scan related radio measurement configurations prevailing at the time of measurement of the corresponding radio measurement values are aggregated into a radio measurement configuration scan. Then the similarity metric is calculated for a pair of radio measurement scans to generate knowledge on radio coverage in the heterogeneous wireless network in a customized manner through reference to radio measurement configuration scans associated with the pair of radio measurement scans for which similarity metrics is to be calculated.

A method of registering distributed devices includes discovering a plurality of devices at a central panel or server, localizing the devices, and authorizing the devices with a mobile device communicating with the central panel or server. The method also includes registering the devices with the central panel. The model can include verifying link quality with each of the devices before registering the devices with the central panel by comparing signal quality between each device and a central panel with a pre-defined threshold level.

In a terminal position estimation system, a terminal position estimation apparatus, or a terminal position estimation method, an electric wave is received by a reception antenna of a communication terminal and is transmitted from multiple transmission antennas. A communication terminal position is estimated based on a magnetic field strength of the electric wave. When the communication terminal position is estimated, a position satisfying an approximate expression is estimated as the communication terminal position. The approximate expression shows a magnetic field strength distribution and is expressed by two variables of a distance from the multiple transmission antennas to the communication terminal and an angle between an axial direction of the multiple transmission antennas and a direction in which the communication terminal is positioned.

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.

Provided is a positioning support table generation method performed by a computing apparatus, the method including generating a three-dimensional (3D) map based on geographic and building information about a predetermined area; setting a plurality of grid points on the 3D map; determining a first base station corresponding to a grid point with respect to each of the plurality of grid points set on the 3D map; calculating at least one physical parameter about a first signal that arrives at the grid point from the first base station and at least one physical parameter about a second signal that arrives at the gird point from a second base station that is one of base stations adjacent to the first base station; and generating a positioning support table based on the at least one physical parameter about the first signal and the at least one physical parameter about the second signal.

Aspects of the subject disclosure may include, for example, utilizing a Radio Frequency (RF) fingerprint model for a demarcated area associated with a plurality of anchors. A machine learning process is applied to an RF training set that includes RF characteristics for a plurality of messages and locations determined for one or more mobile devices within the demarcated area. The plurality of messages are wirelessly transmitted as part of radio measurement locating processes to determine the mobile device locations. A first location for the first mobile device can be determined based on the RF fingerprint model according to particular RF characteristics of first messages being received by or received from the first mobile device. Other embodiments are disclosed.

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.

Techniques for autonomous vehicle operation using acoustic modalities include using one or more acoustic sensors of a vehicle to receive acoustic waves from one or more objects. The acoustic waves have multiple wavelengths. The acoustic waves are clustered into one or more acoustic clusters based on the plurality of wavelengths. A particular acoustic cluster of the one or more acoustic clusters is selected based on signal processing of the one or more acoustic clusters. A particular object is associated with the particular acoustic cluster. An acoustic fingerprint of the particular object is generated based on the particular acoustic cluster. Characteristics of the particular object are determined based on the acoustic fingerprint of the particular object. A control circuit of the vehicle is used to operate the vehicle to avoid a collision with the particular object based on the characteristics of the particular object.