Technologies and techniques for determining power parameters of at least one radio system arranged in or on a vehicle. A rotatable platform may be provided for receiving and rotating the vehicle, as well as a simulation antenna, a base station emulator connected to the simulation antenna, at least one test antenna, and at least one test device, connected to the at least one test antenna and/or to the simulation antenna, for determining at least one power parameter of the at least one radio system depending on a rotation angle of the vehicle. The simulation antenna includes at least three antennas which, in respect of a rotation axis of the rotatable platform, are arranged at identical angular distances over an entire angular range about the rotatable platform. Aspects also relate to methods for determining power parameters of at least one radio system arranged in or on a vehicle.

Systems and methods for detecting, monitoring, and mitigating the presence of a drone are provided herein. In one aspect, a system for detecting presence of a drone includes a radio-frequency (RF) receiver configured to receive an RF signal transmitted between a drone and a controller. The RF signal includes a synchronization signal for synchronization of the RF signal. The system can further include a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the at least one processor to receive a sequence of samples from the RF receiver, obtain a double differential of the received sequence of samples, calculate a running sum of a defined number of the double differential of the received sequence of samples, and detect the presence of the drone based on the running sum.

A method for evaluating a parameter of an interfering signal includes: determining a slope of an interfering signal; setting the slope of the interfering signal as a slope of a first transmission signal; and determining a parameter of the interfering signal based on a feature of an echo signal of the first transmission signal.

A communication device includes a processor configured to: transfer, via a transceiver, a wireless data signal within a communication frequency range; determine a capability of the communication device to measure a wireless radar signal received via the transceiver, the wireless radar signal having a frequency within the communication frequency range; transmit, via the transceiver to a network entity, a first indication of the capability of the communication device to measure the wireless radar signal, the first indication being indicative of a transmit power level of the wireless radar signal from a source of the wireless radar signal or a received power level of the wireless radar signal at the communication device; receive, via the transceiver, the wireless radar signal; determine a positioning measurement of the wireless radar signal; and transmit a second indication of the positioning measurement via the transceiver to the network entity.

A system for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.

The present invention concerns a method for processing radar signals in a detection system comprising at least one computing architecture comprising at least one memory to store at least one set of signal-related programs and/or data, at least one processor executing said programs to implement said method comprising at least a first step (E1) to digitize radar signals, a second step to generate spectra from the digitized signals obtained at the first step (E1), via FFT computation, said method being characterized in that FFT computation at the spectra generation step (E2) comprises at least one multi-FFT processing comprising at least: simultaneous FFT computation (E20) of different sizes with automatic selection of said sizes and real-time selection of signals (E21) in all the spectra of the different FFT computations, via a selection algorithm.

A method is disclosed that includes maintaining a database comprising identifying information indicative of one or more radio nodes and/or of one or more areas within which the one or more radio nodes are located. Each respective radio node of the one or more radio nodes is configured to enable positioning based on radio signals sent by the respective radio node. The positioning enabled by the respective radio node is considered to be at least partially unexpected. A corresponding apparatus, computer-readable storage medium and system are also provided.

Techniques for planning locations of receiver systems for an environmental sensing capabilities (ESC) system are provided. An ESC system is used to detect activity of primary users in shared spectra. The techniques can be used to reduce dead zone area(s), created by the receiver systems, for radios of secondary systems using the shared frequency spectrum.

Methods, apparatuses, and computer program products for radar devices are provided. A radar device may detect an interfering radar signal from a second radar device that interferes with measurement of a return of a radar signal from the first radar device. The radar device may perform a timing adjustment action in response to detecting the interfering radar signal from the second radar device.

The discriminability of an RF fingerprint is increased by “abstracting,” “enhancing,” and “reconstructing” a digital signal before it is transmitted, where the abstraction is a reversible nonlinear compression, the enhancement is a modification of the abstracted data, and the reconstruction is a mapping-back of the abstraction. During a training phase, for each individual RF transmitter, RF fingerprints are analyzed and candidate enhancements are modified until a successful enhancement is identified that provides satisfactory discriminability improvement with minimal signal degradation. The successful enhancement is implemented in the RF transmitter, and the RF fingerprint is communicated to receivers for subsequent detection and verification. Reinforcement learning can direct modifications to the candidate enhancements. The abstraction can implement a deep generative model such as an auto-encoder. A covert data enhancement can encode covert data onto the RF fingerprint, whereby the covert data is transmitted covertly to a receiver.