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.

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.

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 synthetic reception strength value in a case of synthesizing indirect waves of radio waves generated due to an obstruction is calculated for each piece of receive antenna coordinate information in consideration of a phase of each indirect wave. Relation information indicating relation between input information and teaching information is generated. The input information is the synthetic reception strength value for each piece of the receive antenna coordinate information corresponding to transmit antenna coordinate information. The teaching information is information indicating a reception state of the radio waves being calculated using a method of actually measuring the radio waves output by the transmit antenna at a position of a receive antenna or a method other than the method of the actual measurement. Strength of the radio waves is estimated by calculating the information indicating the reception state of the radio waves by using the transmit antenna coordinate information for evaluation and the generated relation information.

Methods and apparatus for predicting wireless measurements based on virtual access points is described. In some embodiments, a location of a user equipment (UE) may be obtained, and given the location of the UE, an output may be generated using a machine learning model, the output including one or more predicted wireless measurements. The output may be indicative of a wireless channel in a multipath environment. In some variants, the machine learning model may have been trained by obtaining a training dataset comprising multipath components data and ground truth locations of a wireless device, and performing an optimization with respect to the multipath components data and the ground truth locations. In some implementations, a training output comprising a predicted multipath component may be produced during the training, and the optimization may include an iterative minimization of an error between at least the predicted multipath component and a labeled multipath component.

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.

When determining, from a plurality of sensors (10), a sensor (10) for observing a plurality of moving objects (20), based on positions of the plurality of moving objects (20), an allocation determination apparatus (2000) executes annealing on an allocation determination model of which value is larger as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is larger, and of which value is smaller as the number of the moving objects (20) that are not observed by any of the plurality of sensors (10) is smaller, and thereby determines allocation of the moving object (20) to each of the sensors (10) in a case in which the value of the allocation determination model decreases.

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.

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.

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.