A method for localizing interference uses data available to wireless communication networks to determine probabilities of a source of external interference being located at a plurality of predetermined locations.

A method for localizing interference uses data available to wireless communication networks to determine probabilities of a source of external interference being located at a plurality of predetermined locations.

Devices, methods, systems, and computer-readable media for tracking a location of an object are described herein. One or more embodiments include a receive element to receive wireless transmissions from a plurality of nodes including range data of an object from each of the plurality of nodes, a position calculator to convert the range data to distance measurements of the distance of each of the plurality of nodes to the object, and a transmit element to transmit the distance measurements to a command node.

Devices, methods, systems, and computer-readable media for tracking a location of an object are described herein. One or more embodiments include a receive element to receive wireless transmissions from a plurality of nodes including range data of an object from each of the plurality of nodes, a position calculator to convert the range data to distance measurements of the distance of each of the plurality of nodes to the object, and a transmit element to transmit the distance measurements to a command node.

A radio frequency identification (RFID) system includes an array of antennas to distinguish line-of-sight (LOS) paths from non-line-of-sight (NLOS) paths. The distance between adjacent antennas in the array of antennas is less than half the wavelength of the radio frequency (RF) signal of the system. Each antenna in the antenna array is also digitally controlled to change relative phase difference among the antennas, thereby allowing digital steering of the array of antennas across angles of arrival (AOAs) between 0 and . The digital steering generates a plot of signal amplitudes as a function of AOAs. LOS paths are distinguished from NLOS paths based on the shapes (e.g., depth, gradient, etc.) of local extremes (e.g., maxima or minima) in the plot.

A radio frequency identification (RFID) system includes an array of antennas to distinguish line-of-sight (LOS) paths from non-line-of-sight (NLOS) paths. The distance between adjacent antennas in the array of antennas is less than half the wavelength of the radio frequency (RF) signal of the system. Each antenna in the antenna array is also digitally controlled to change relative phase difference among the antennas, thereby allowing digital steering of the array of antennas across angles of arrival (AOAs) between 0 and . The digital steering generates a plot of signal amplitudes as a function of AOAs. LOS paths are distinguished from NLOS paths based on the shapes (e.g., depth, gradient, etc.) of local extremes (e.g., maxima or minima) in the plot.

Drone-based wireless communications systems are provided, as are methods carried-out by such wireless communications systems. In one embodiment, the wireless communications system includes a Satellite Signal Transformation (SST) unit and a plurality of aerial network drones, which can be deployed over a designated geographical area to form a multi-drone network thereover. During operation, the SST unit transmits a network source signal, which contains content extracted from a satellite signal. The multi-drone network receives the network source signal, disseminates drone relay signals containing the content through the multi-drone network, and broadcastings user device signals containing the content over the designated geographical area. In embodiments, the multi-drone network may broadcast multiple different types of user device signals for reception by various different types of user devices located within the designated geographical area, such as an arear containing communication infrastructure disabled by a natural disaster, a hostile attack, or other catastrophic event.

Drone-based wireless communications systems are provided, as are methods carried-out by such wireless communications systems. In one embodiment, the wireless communications system includes a Satellite Signal Transformation (SST) unit and a plurality of aerial network drones, which can be deployed over a designated geographical area to form a multi-drone network thereover. During operation, the SST unit transmits a network source signal, which contains content extracted from a satellite signal. The multi-drone network receives the network source signal, disseminates drone relay signals containing the content through the multi-drone network, and broadcastings user device signals containing the content over the designated geographical area. In embodiments, the multi-drone network may broadcast multiple different types of user device signals for reception by various different types of user devices located within the designated geographical area, such as an arear containing communication infrastructure disabled by a natural disaster, a hostile attack, or other catastrophic event.

Geolocating an emitter of a low probability of detection (LPD) signal being transmitted from the emitter in an environment with a noise floor, where the LPD signal is below the noise floor. At a sensor node, a version of the LPD signal is received from the emitter. For the version of the LPD signal, cyclostationary feature detection or energy detection of the version of the LPD signal is performed. A low probability of detection descriptor word, including at least one of a frequency feature of the version of the LPD signal or an energy feature of the version of the LPD signal is created. The low probability of detection descriptor word is provided to a data processor, where the data processor is configured to use a plurality of low probability of detection descriptor words from different sensor nodes for different versions of the LPD signal to geolocate the emitter.

Geolocating an emitter of a low probability of detection (LPD) signal being transmitted from the emitter in an environment with a noise floor, where the LPD signal is below the noise floor. At a sensor node, a version of the LPD signal is received from the emitter. For the version of the LPD signal, cyclostationary feature detection or energy detection of the version of the LPD signal is performed. A low probability of detection descriptor word, including at least one of a frequency feature of the version of the LPD signal or an energy feature of the version of the LPD signal is created. The low probability of detection descriptor word is provided to a data processor, where the data processor is configured to use a plurality of low probability of detection descriptor words from different sensor nodes for different versions of the LPD signal to geolocate the emitter.