A method for predicting a structure of an indoor space using radio propagation channel analysis through deep-learning is disclosed. Channel data of radio signals are collected for various indoor spaces, and radio channel parameter data such as PDP, AoA, and AoD are extracted therefrom. A large amount of propagation channel parameter data is input to an artificial neural network together with vertex coordinate data of the corresponding indoor space and deep-learning is performed in advance. The propagation channel parameter data are extracted from the indoor space to be predicted, the best matching indoor space is detected based on the trained artificial neural network. The best matching indoor space is predicted as the structure of the indoor space.

A method for determining a definite safe distance between a wirelessly communicating object transponder and at least one anchor gateway in accordance with a two-way ranging method, wherein transmission and reception timestamps are detected for each communication message via the transponder and the at least one anchor gateway, each of the timestamps from the transponder and the at least one anchor gateway together with at least one respective piece of timestamp monitoring information are transmitted to a failsafe computing device, at least one check is implemented via the failsafe computing device, and the definite safe distance is determined via the failsafe computing device aided by the checked timestamps, where timestamp errors occurring during the detection of the timestamps are caused solely by the transponder or alternatively solely the one anchor gateway.

A method for determining a definite safe distance between a wirelessly communicating object transponder and at least one anchor gateway in accordance with a two-way ranging method, wherein transmission and reception timestamps are detected for each communication message via the transponder and the at least one anchor gateway, each of the timestamps from the transponder and the at least one anchor gateway together with at least one respective piece of timestamp monitoring information are transmitted to a failsafe computing device, at least one check is implemented via the failsafe computing device, and the definite safe distance is determined via the failsafe computing device aided by the checked timestamps, where timestamp errors occurring during the detection of the timestamps are caused solely by the transponder or alternatively solely the one anchor gateway.

According to various example embodiments of the present invention, an electronic device may comprise: a sensor module; a first communication circuit supporting a first communication scheme; a low-power processor; and a processor operatively connected to the sensor module, the first communication circuit, and the low-power processor, wherein the first communication circuit transmits a request signal related to a state of the electronic device to the low-power processor on the basis of distance measurement-related information provided from the processor, receives information related to the state of the electronic device from the low-power processor in response to the request signal, and measures a distance to an external electronic device on the basis of the information related to the state of the electronic device. Other embodiments may also be possible.

According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.

According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.

An electronic device configures two or more virtual responders associated with different subsets of capabilities of a physical responder in the electronic device, where the physical responder comprises a radio-frequency (RF) transceiver and multiple antennas, and where a given virtual responder corresponds to the RF transceiver and a given antenna. Then, the electronic device performs, based at least in part on wirelessly communication with a second electronic device and using at least the virtual responders, measurements on wireless signals from the second electronic device to the electronic device, where the measurements correspond to a time of flight of the wireless signals. Next, the electronic device determines, based at least in part on the measurements, a range between the electronic device and the second electronic device, where the determination uses the measurements from different virtual responders to correct for an environmental condition and/or increase an accuracy of the determined range.

A method includes estimating distances between a user device and an access point based on a series of FTM ranging bursts exchanged between the user device and the access point. The method also includes calculating a variance of the estimated distances and in response to determining that the variance exceeds a threshold, instructing the user device to perform an action that reduces the variance. Other embodiments include a device that performs this method.

Systems and methods employ ultra-wide band (UWB) time of flight (ToF) distance measurements for locating a portable device relative to a target. Performance and reliability of UWB ToF distance measurements for locating the portable device is improved by adjusting a communication retry strategy based on signal quality calculations. The quality of an UWB signal received by each satellite of a base station is assessed based on factors like signal strength, noise level, and ratio of first path signal power to total signal power. This data is used to direct the retry strategy to the satellites receiving the best signal quality for these satellites to conduct ToF distance measurements with the portable device and/or to add correction factors to calculated ToF distance measurements.

To determine a location of a client device in a wireless network having at least first and second network devices, with known locations, one of the network devices transmits a message to the other network device and the other network device responds with an acknowledgement message. A client device receives the message and the acknowledgement message as well as respective times indicating actual times at which the message and the acknowledgement message were processed by one of the first and second network devices. The client device determines its location based on the times at which it received the message and the acknowledgement message and the difference between the actual processing times. This location may be refined by determining an angle between the client device and at least one of the network devices having multiple antennas and being configured for steered beam communications.