Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can receive sensor data associated with an object in a particular airspace from one or more radio frequency sensors. The tracking system can analyze the sensor data relating to the object to identify a type of RF signal being used by the object. A portable countermeasure device can generate one or more disruption signals on one or more targeted bands of spectrum based on the type of RF signal being used by the object.

Systems and methods are described for a cyber-physical vehicle management system generated by an Integrated Secure Device Manager (ISDM) Authority configured to manage licensing and approval of Cyber-Physical Vehicle (CPV)s, a public/private key pair and a unique ID for the Authority, create a self-signed Authority token signed by the private key, send the Authority token to a plurality of ISDM Node device configured to verify Module device authenticity and in communication with the Authority, store, by each Node, the Authority token, and mark, by each Node, the Authority token as trusted.

A system and method for mitigating interference of a radio frequency (RF) signal includes a receiver configured to include: a decomposition module that decomposes a received RF signal into sub-bands via a multi-stage filter, each sub-band being configured to operate on real and imaginary components of the RF signal, and each stage being scaled for separating time-frequency content of the desired signal from time-frequency content of the interference; a mitigation module that suppresses the interference of the RF signal in each sub-band by zeroing an output of a respective sub-band when the frequency content exceeds a predetermined threshold; and a reconstruction module that reconstructs the RF signal from the mitigation module minus the interference. The receiver is configured to determine whether the multi-stage filter is to be reinitialized with updated time and frequency resolution requirements to improve system response.

The present disclosure relates to a counter measure effector (100) for targeting unmanned aerial vehicles (UAVs), said counter measure effector comprising: at least one antenna (108, 109) for selectively emitting electromagnetic radiation; a telescopic sight (126) comprising an optical system that is transferrable between a first state, in which the optical system has a first appearance, and a second state, in which the optical system has a second appearance that is different from the first appearance, wherein the counter measure effector (100) is configured to set the optical system in its first state, when the at least one antenna is activated, and in its second state, when the at least one antenna is de-activated.

In some examples, a system includes a transceiver configured to receive surveillance messages from Y target vehicles, where Y is an integer greater than two. The system includes processing circuitry configured to determine predicted positions of the Y target vehicles based on the surveillance messages. The processing circuitry is also configured to determine reported positions of the Y target vehicles based on later received surveillance messages. The processing circuitry is further configured to determine that respective differences between the respective predicted position and the respective reported position for X of the Y target vehicles is greater than a threshold distance. The processing circuitry is configured to determine that Global Navigation Satellite System interference has occurred in response to determining that X divided by Y is greater than a threshold level.

Several examples of a navigation disruption device and methods of using the same are described herein that use real-time, low-cost computation to generate conflicting/competing signals to actual Global Navigation Satellite System (GNSS) signals. For example, the novel, hand-held navigation disruption devices described herein (1) generate signals from a simulated satellite constellation, wherein the signals from the simulated satellite constellation conflict/compete with signals from one or more actual satellite constellations, and (2) transmit the signals from the simulated satellite constellation(s) towards an unmanned vehicle. The signals from the simulated satellite constellation(s) cause the unmanned vehicle to compute an incorrect position, which in turn disrupts its ability to navigate and operate effectively.

A method and a function for checking the integrity of the processing of a radionavigation signal emitted by a satellite, the signal being received by a receiver comprising reception means and processing means, the processing means comprising a linear anti-interference filter, the integrity checking method comprising at least a first phase of detection of a risk of false lock-on comprising the following steps: a step of recovery of a nominal theoretical self-correlation function of the received signal not processed by the linear anti-interference filter; a step of determination of a mean theoretical self-correlation function of the signal received and processed by the linear anti-interference filter over a defined integration period; a step of determination of the number of local maxima of the modulus or of the modulus squared of the mean theoretical self-correlation function, a risk of false lock-on being detected if the number of local maxima is greater than or equal to two.

A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

An aircraft flight control apparatus includes a flight track acquiring unit and a determining unit. The flight track acquiring unit is configured to measure a position of an aircraft to acquire a flight track of the aircraft. The determining unit is configured to determine, when an own-aircraft deviation amount gradually increases, whether the aircraft receives a spoofed signal as a satellite positioning system signal, on the basis of the own-aircraft deviation amount. The own-aircraft deviation amount is an amount of deviation of the flight track acquired by the flight track acquiring unit from a scheduled flight route of the aircraft.

Method and apparatus for cooperative early threat detection and avoidance in C-V2X. In one aspect, the apparatus detects a threat entity within a threat zone based on data signals received from the threat entity, wherein the threat entity obstructs wireless spectrum or resources utilized in cooperative or automated driving decisions. The apparatus transmits, to at least one second wireless device, a message indicating the threat entity within the threat zone.