Presented herein are embodiments of signal detection and location finding directed to a “Signature Detector and Direction Finder” (SDDF) add-on module. The SDDF is an add-on module to any Signal Detection System (SDS) that detects, locates, and/or tracks any type(s) of Radio Frequency (RF) signals. Even though the presented embodiments can be used with any RF signal type, the preferred targets are Uncrewed Aerial Vehicles (UAV) or drones, and their controllers. A goal of the SDDF add-on module is to recognize the reported signal of interest and identify its direction. The machine-learning feature enables the system (i.e. SDDF add-on module with SDS) to be deployable in various environments with flexibility in choosing the antenna type(s). The Signature Detector component of the SDDF add-on module uniquely filters drone/controller signals, hence, more accurate direction estimation of the detected signal by SDDF add-on module.

The present invention relates to a method and apparatus for detecting a signal propagation type. The method comprises: calculating a similarity value of a currently received pulse response and a reference pulse response when a certain positioning base station of a UWB positioning system currently receives a pulse response from a certain positioning tag, the similarity value indicating the degree of similarity between the currently received pulse response and the reference pulse response, wherein the reference pulse response is a pulse response previously received by the positioning base station from the positioning tag; and determining the current type of signal propagation between the positioning base station and the positioning tag on the basis of the similarity value. The method and apparatus can detect the type of signal propagation between the positioning base station and positioning tag of the UWB positioning system.

The present invention relates to a method and apparatus for detecting a signal propagation type. The method comprises: calculating a similarity value of a currently received pulse response and a reference pulse response when a certain positioning base station of a UWB positioning system currently receives a pulse response from a certain positioning tag, the similarity value indicating the degree of similarity between the currently received pulse response and the reference pulse response, wherein the reference pulse response is a pulse response previously received by the positioning base station from the positioning tag; and determining the current type of signal propagation between the positioning base station and the positioning tag on the basis of the similarity value. The method and apparatus can detect the type of signal propagation between the positioning base station and positioning tag of the UWB positioning system.

In one embodiment, an asynchronous wireless system for localization of nodes comprises a first wireless node being configured to receive a first communication from a third wireless node having an unknown location, to determine time difference of arrival (TDoA) information of the reception of the first communication between each of the first and a second wireless node, to determine TDoA ranging including a relative or absolute position of the third wireless node using the time difference of arrival information, and to synchronize the first and second wireless nodes based on a second communication with the synchronization being decoupled in time from the first communication. In another embodiment, a computer implemented method comprises receiving, with first and second wireless anchor nodes, packets from a wireless arbitrary device and performing time difference of arrival ranging upon reception of the packets between each of the first and the second wireless anchor nodes.

In one embodiment, an asynchronous wireless system for localization of nodes comprises a first wireless node being configured to receive a first communication from a third wireless node having an unknown location, to determine time difference of arrival (TDoA) information of the reception of the first communication between each of the first and a second wireless node, to determine TDoA ranging including a relative or absolute position of the third wireless node using the time difference of arrival information, and to synchronize the first and second wireless nodes based on a second communication with the synchronization being decoupled in time from the first communication. In another embodiment, a computer implemented method comprises receiving, with first and second wireless anchor nodes, packets from a wireless arbitrary device and performing time difference of arrival ranging upon reception of the packets between each of the first and the second wireless anchor nodes.

A computer-implemented method for establishing and controlling a mobile perimeter and for determining a geographic location of an RF emitting source at or within the mobile perimeter includes receiving from RF sensors in a network, processed RF emissions from the source collected at RF sensors. The RF emissions follow a wireless protocol and include frames encoding RF emitting source identification information. The method further includes extracting RF emitting source identification information from the frames, processing the source identification information to identify the RF emitting source, and classifying the RF emitting source by one or more of UAS type, UAS capabilities, and UAS model. The method also includes receiving from the RF sensors, a geographic location of each RF sensor and a time of arrival (TOA) of the RF emissions at the RF sensor; and executing a multilateration process to estimate a geographic location of the RF emitting source.

A system and a method for operating a lighting device may include a transmission device and an optional communication unit. The transmission device may be configured to wirelessly transmit a radio signal with identification data specific to the transmission device of the lighting device via at least two radio channels. The transmitted radio signal transmitted via a respective one of the at least two channels may include channel data with respect to the respective one of the radio channels. In a non-limiting embodiment, the transmission device is a beacon.

The present disclosure obtains a correction value that corrects measurement angle error signals more accurately than conventional methods even in a case where a radio wave signal-to-noise ratio is low, and thus tracks a communication counterpart more accurately than the conventional methods. The present disclosure includes a program controller 28 that generates a command value of an orientation direction of an antenna 1 and outputs the generated command value to an antenna drive controller 27, the command value being changed in accordance with a predetermined change scenario 54; a correction value calculator 32 that calculates a phase correction value γ, based on at least three pieces of error measurement data 55 including (i) an arrival direction error obtained from a sum signal and a difference signal of reception signals, the arrival direction error representing a difference between the orientation direction and an arrival direction being a direction from which the radio waves come and arrive and (ii) an orientation direction actual measurement value being an actual measurement value of the orientation direction when the arrival direction error is obtained, the phase correction value γ being an angle by which the arrival direction error is rotated; and a tracking controller 33 that outputs, to the antenna drive controller 27, as the command value, a value obtained by adding the arrival direction error corrected based on the phase correction value γ to the orientation direction actual measurement value.

Disclosed is an approach to enable radio map download for Global Navigation Satellite System (GNSS)-denied areas. In particular, processor(s) (e.g., of positioning server(s)) could identify GNSS-denied area(s) in an initial radio map, the GNSS-denied area(s) being (i) one or more areas in which at least one GNSS signal is or was unavailable and (ii) a subset of a plurality of areas represented by the initial radio map. Subsequently, the processor(s) could generate a partial radio map representing radio data only for the GNSS-denied area(s) identified in the initial radio map, and could then transmit the partial radio map to a mobile device for storage at the mobile device. In this way, the mobile device could optimize resource usage and perform radio-based position estimations at least in the GNSS-denied area(s) that were identified.

A system for determining the location of a wireless device is described, the system includes a map, a fixed beacon, a fixed sensor and a server component. The server component receives a beacon identifier and a beacon signal strength from a wireless device. A sensor is located on the map. The fixed sensor receives the beacon identifier and the sensor captures a measured sensor beacon signal strength. The sensor is communicatively coupled to the server component. The server component receives the beacon identifier and the measured sensor beacon signal strength from the fixed sensor. The server component uses the beacon identifier and the beacon signal strength communicated by the wireless device and the sensor beacon signal strength and the beacon identifier received by the sensor to determine the location of the wireless device.