Patent classifications
G01S7/021
SYSTEM AND METHODS FOR COUNTERING SATELLITE-NAVIGATED MUNITIONS
A defense system that receives information regarding an incoming object(s), then automatically coordinates spoofing or jamming of SATNAV signals potentially used by the incoming object(s) while also informing friendly systems of the spoofing or jamming of SATNAV signal.
Method and radar sensor for reducing the influence of interference in the evaluation of at least one received signal
A method and an apparatus for reducing the influence of interference in the evaluation of at least one received signal of a radar sensor, in particular of a radar sensor installed in a vehicle, is described. In predetermined operating situations, predetermined transmitted signals are emitted and reflected partial signals are received, and the signals received for the predetermined operating situations are stored in order to determine an interference spectrum and the influence of interference is reduced by taking the interference spectrum into consideration in the context of signal evaluation.
Neural Network Approach for Identifying a Radar Signal in the Presence of Noise
A self-supervised machine-learning system identifies whether an intermittent signal is present. The system includes a receiver, an encoding neural network, a decoding neural network, and a gating neural network. The receiver detects radiation and from the detected radiation generates a sampled sequence including sampled values describing the intermittent signal and noise. The encoding neural network is trained to compress each window over the sampled sequence into a respective context vector having a fixed dimension less than an incoming dimension of the window. The decoding neural network is trained to decompress the respective context vector for each window into an interim sequence describing the intermittent signal while suppressing the noise. The gating neural network is trained to produce a confidence sequence from a sigmoidal output based on the interim sequence. Despite the noise, the confidence sequence identifies whether the intermittent signal is present in each sampled value in the sampled sequence.
Systems and methods for detecting, tracking and identifying small unmanned systems such as drones
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.
WIRELESS COMMUNICATION SYSTEM WITH DETECTORS FOR EXTRANEOUS RECEIVED SIGNALS
A wireless communication system having base stations, remotely located terminal units and a base station controller. The base stations and the remotely located terminal units communicate data over operational wireless communication links between them. The base stations include respective in-channel detectors and out-of-channel detectors for detecting radar or other extraneous received signals. The in-channel detectors analyse signals over the operational communication links. The out-of-channel detectors include respective out-of-channel receiver elements that monitor possibly available channels alternative to the respective operational communication link channels. The base station controller registers whether channels are available or not for communication links, and allocates to the base stations respective target channel parameters including frequencies available for operational and alternative communication links. The base stations store the respective target channel parameters for available operational and alternative communication links.
ANGLE OF ARRIVAL CORRELATION USING NORMALIZED PHASE
A method for automatically correlating radio wave pulses includes deterring a first normalized phase shift that corresponds to a first radio wave pulse. The method further includes determining a second normalized phase shift that corresponds to a second radio wave pulse. The method further includes determining the first normalized first normalized phase shift is equal to the second normalized phase shift. The method further includes in response to determining the first normalized phase shift is equal to the second normalized phase shift, correlating the first radio wave pulse and the second radio wave pulse as originating from a same radio wave transmitter. The method further includes transmitting a signal indicative of the first radio wave pulse and the second radio wave pulse as originating from the same radio wave transmitter through a circuit
Pseudo low IF for zero IF receiver to reduce dynamic frequency selection (DFS) falsing
A pseudo low intermediate frequency (IF) configuration is provided for a receiver having a zero IF radio architecture dedicated for radar detection, in order to reduce false radar detection. Energy from local oscillator leakage is shifted away from DC. After filtering out of the desired sub-channel, the local oscillator leakage energy is suppressed, reducing false radar detection.
Amplitude based centroiding for angle of arrival estimation
Techniques are disclosed for determining AOA of one or more radar pulses received at a vehicle and originating from a source. The techniques are particularly well-suited to provide pilots with a more accurate determination of the azimuth angle to the radar source, although ground-based and water-based vehicles may benefit as well. Some embodiments discussed herein determine a true estimation of both azimuth and elevation angles, with reference to an aircraft's body-centered coordinate system, to the radar source. These parameters can also be used to determine a more accurate position on the ground for the radar source.
DETERRENT FOR UNMANNED AERIAL SYSTEMS
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.
Method for detecting radars and related device
A method for detecting at least one radar transmitter in an environment, the method being implemented by a device including a calculating unit and an antenna array including at least one antenna able to make acquisitions of the environment as acquisition signals and to receive and transmit the acquisition signals in a digital form to the calculating unit, the calculating unit being able to make processing on digitised signals, the method including receiving and digitising the acquisition signals as digitised signals and transmitting the digitised signals to the calculating unit; cutting off the digitised signals into pulses, characterising each pulse to obtain primary characteristics and secondary characteristics; gathering the pulses into pulse blocks.