Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.

A global resource locator (GRL) device can be used to identify a missing asset. The GRL device can include a memory device and a processor. The processor can be coupled to the memory device. The processor can be configured to receive a communication from one or more of a plurality of GRL devices proximate the GRL device. The processor can be configured to store data received from the plurality of GRL devices on the memory device. The processor can be configured to determine that a missing GRL device of the plurality of GRL devices is missing based at least in part upon subsequent communication with a subset of the plurality of GRL devices. The processor can be configured to transmit a notification that the missing GRL device is missing to a non-GRL receiving device.

Disclosed is a way to expand the range of Internet of Things devices in a home, office, or structure to the range of a local WiFi network. This is accomplished by generating a network bridge for the devices using machine-to-machine protocols to communicate using the WiFi network backhaul channel. Transmissions in machine-to-machine protocol are tunneled through WiFi communications and extracted by the closest access point. Access points include radios for both WiFi and machine-to-machine protocols.

An electronic device and a method of the electronic device for performing localization in a wireless communication system are provided. The electronic device and method comprise: receiving, from a plurality of anchor nodes, signals for the localization; performing ranging measurements of the signals based on a range and an angle of arrival (AoA) of the signals; determining whether at least one of the plurality of anchor nodes is not detected based on the ranging measurements; determining, based on a determination that the at least one anchor node is not detected based on the ranging measurements, whether at least one other anchor node in the plurality of anchor nodes is located on a line of sight (LOS) from the electronic device, wherein the LOS is determined based on the AoA of the signals; and performing the localization based on the at least one other anchor node.

Systems and methods for localizing devices using network signatures and coverage maps measured by robots are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may generate a coverage map based on measurements collected during operation of the robot. The coverage map generated by the robot may be temporally accurate such that a device may be localized within the coverage map based on a received network signature from the device. The network signature comprising a measure of amplitudes of Wi-Fi networks and/or cellular networks at a point within an environment of the coverage map.

A method of determining a two-dimensional position of a moving wireless device is provided. The method comprises obtaining, for each of three or more base stations, one or more measurements of a carrier frequency offset for one or more signals sent between the moving wireless device and the respective base stations. The method further comprises inputting the carrier frequency offset measurements into a model to determine a two-dimensional position of the moving wireless device, in which inputs to the model do not include range measurements for the moving wireless device with respect to the three or more base stations.

Systems and methods of the present disclosure are directed a method performed by a first Ultra-Wideband (UWB)-equipped device for reducing UWB power consumption. The method includes, for a plurality of ranging rounds in accordance with a first ranging time interval, sending one or more UWB ranging signals to a second UWB-equipped device and receiving one or more location measurements from the second UWB-equipped device. A location measurement is indicative of a location of the second UWB-equipped device. The method includes, based on the one or more location measurements across the plurality of ranging rounds, modifying the first ranging time interval to a second ranging time interval different than the first ranging time interval.

Systems, devices, methods, and computer-readable media for improved location determination of an orbiting device. A method can include receiving, at a transceiver of a device, measurement data from a monitor device, the measurement data representative of a physical state of a mobile object, filtering, using a first of a plurality of first filters of the device, the measurement data based on a character parameter of a state transition matrix representative of the physical state resulting in filtered measurement data, filtering, using a Kalman filter, the filtered measurement data resulting in further filtered measurement data, and providing, by the transceiver, the further filtered measurement data.

A sensor may be configured to determine how many people that have entered or exited a space. The sensor may comprise a pyroelectric infrared (PIR) detection circuit capable of generating different output signal patterns in response to a person entering or exiting the space. The sensor may determine whether the person has entered or exited the space based on the output signal pattern. The sensor may include a thermopile array, a radar detection circuit, or a visible light sensing circuit. The thermopile array, radar detection circuit, or visible light sensing circuit may be capable of detecting a person's location and/or movements within an area monitored by the sensor and determining, based on the detected movements, whether the person has entered or left the space. An occupant count of the space may then be determined accordingly by the sensor or by a system controller.

A method comprising: providing an autonomous vehicle (AV) with a first estimated position of a target; directing the AV to travel toward the first estimated position at a constant velocity; receiving echo signals of transmitted sonar signals, the echo signals indicating a range and an azimuth of the target; determining a depth difference of the AV and the target based on the received echo signals, the depth difference being determined based on changes to the range and azimuth of the target over time; and in response to a depth difference existing, re-directing the AV toward a second estimated position of the target generated from the depth difference.