A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body having a dual-grip configuration, with the directional antennae are affixed to a front portion of the body. The one or more disruption components may be internally mounted within the device body. The dual-grip configuration allows an operator to use his body to steady and support the device while maintaining the antenna on target. The second grip is positioned adjacent the first grip, with the first grip angled toward the rear of the device and the second grip angled toward the front of the device. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

A photonic random signal generator includes an incoherent optical source configured to generate an optical noise signal, a filter configured to generate a filtered optical noise signal using the optical noise signal, a coupler, a photodetector, a filter, and a limiter. The coupler couples the filtered optical noise signal and a delayed version of the filtered optical noise signal to generate a first coupled signal and a second coupled signal. The photodetector generates an output signal representative of a phase difference between the filtered optical noise signal and the delayed version of the filtered optical noise signal using the first coupled signal and the second coupled signal. The filter filters the output signal representative of the phase difference to generate an analog random signal. The limiter thresholds the analog random signal based on a clock signal, to generate a digital random signal.

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.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. Sensor data can be received from one or more portable countermeasure devices or sensors. The sensor data can relate to an object detected proximate to a particular airspace. The system can analyze the sensor data relating to the object to determine a location of the object and determine that the object is flying within the particular airspace based at least in part on location data. A portable countermeasure device can be identified that corresponds to the location of the object. The system can transmit information about the object to the identified portable countermeasure device. The portable countermeasure device can transmit additional data relating to the object to the system.

A system for providing integrated detection and countermeasures against unmanned aerial vehicles include a detecting element, a location determining element and an interdiction element. The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The location determining element determines the exact location of the unmanned aerial vehicle. The interdiction element can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can cause disable the unmanned aerial vehicle in a destructive manner.

Systems and methods for disrupting unauthorized communication in low frequency radio communication devices are provided. Traditional systems and methods may fail to provide for disrupting unauthorized communications by generating low frequency signals in the same band as the low frequency bands of the low frequency radio communication devices. Embodiments of the present disclosure provides for overcoming the limitations faced by the traditional systems and methods by generating, via a square wave generator and a device coil of a low frequency radio communication device, low frequency signals; integrating the low frequency signals on a computing device by implementing a power controlling technique; and disrupting, via the integrated low frequency signals on the computing device, unauthorized communications in the low frequency radio communication device.

A system for providing integrated detection and countermeasures against unmanned aerial vehicles include a detecting element, a location determining element and an interdiction element. The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The location determining element determines the exact location of the unmanned aerial vehicle. The interdiction element can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can cause disable the unmanned aerial vehicle in a destructive manner.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

Some embodiments relate to a method for repelling a detectable drone, whose flight control and/or whose drone flight path can be influenced by repulsion measures, wherein a repulsion space is defined as a part of the airspace, and wherein the flight control and/or the drone flight path of a drone located in the repulsion space is influenced.

A signal generator device includes a digital signal waveform generator to produce a digital signal waveform, a first frequency band signal path having a first frequency band filter to receive the digital signal waveform and to pass first frequency band components of the digital signal waveform, and a first digital-to-analog converter to receive the first frequency band components of the digital signal waveform and to produce a first frequency band analog signal, a second frequency band signal path having a second frequency band filter to receive the digital signal waveform and to pass second frequency band components of the digital signal waveform, a second digital-to-analog converter to receive the second frequency band components of the digital signal waveform and to produce a second frequency band analog signal, and a combining element to combine the first frequency band analog signal and the second frequency band analog signal to produce a wideband analog signal. A method of generating a wideband analog signal includes generating a digital waveform, splitting the digital waveform into at least a first frequency band signal and a second frequency band signal, converting the first frequency band signal into a first frequency band analog signal, converting the second frequency band signal into a second frequency analog signal, and combining the first frequency band analog signal with the second frequency band analog signal to produce the wideband analog signal.