A sound masking system according to the invention is disclosed in which one or more sound masking loudspeaker assemblies are coupled to one or more electronic sound masking signal generators. The loudspeaker assemblies in the system of the invention have a low directivity index and preferably emit an acoustic sound masking signal that has a sound masking spectrum specifically designed to provide superior sound masking in an open plan office. Each of the plurality of loudspeaker assemblies is oriented to provide the acoustic sound masking signal in a direct path into the predetermined area in which masking sound is needed. In addition, the sound masking system of the invention can include a remote control function by which a user can select from a plurality of stored sets of information for providing from a recipient loudspeaker assembly an acoustic sound masking signal having a-selected sound masking spectrum.

An optronic system (100) for a countermeasure unit (10) to optically communicate with another communication terminal is disclosed. The countermeasure unit (10) comprises a laser beam source (12) and a directing device (14) for a laser beam (15) of the laser beam source (12) and is configured to dazzle or to jam an object of threat (50). The optronic system (100) comprising: a detector (110), a modulation unit (120), and a control unit (130). The detector (110) is configured to detect an incoming communication in an incoming signal (25). The modulation unit (120) is configured to demodulate the incoming signal (25) or cause a modulation of an outgoing laser beam (15). The control unit (130) is configured, in response to the detected incoming communication, to control the modulation unit (120) to demodulate the incoming signal (25) or to modulate the outgoing laser beam (15) to enable an optical communication via the laser beam source (12) of the countermeasure unit (10).

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.

Methods and systems fort operating one or more light sources to project adversarial patterns generated to disorient a machine learning based detection system, comprising generating one or more adversarial patterns configured to disorient the machine learning based detection system and operating one or more light sources configured to project one or more of the adversarial pattern(s) in association with the targeted object in order to disorient the machine learning based detection system.

A joint link-level and network-level intelligent system and method for dynamic spectrum anti-jamming are provided. The system includes a link-level anti-jamming subsystem and a network-level anti-jamming subsystem. The link-level anti-jamming subsystem sets a reward value as system transmission throughput in a single decision cycle, and a user makes an intelligent frequency usage decision based on the obtained reward value to skip a frequency band in which jamming exists. The network-level anti-jamming subsystem performs reasonable frequency band allocation and management for lower-level sub-users when link-level anti-jamming fails to further enhance a frequency domain anti-jamming capability of the entire system. The users make intelligent frequency usage decisions through a dynamic spectrum anti-jamming algorithm based on reinforcement learning to effectively avoid external malicious jamming, realize dynamic spectrum access, and enhance a frequency domain anti-jamming capability of the system.

A method and apparatus related to developing electromagnetic emission and power models for a target device using photonic emissions thereof are provided. Data of photonic emissions of a target device during a first period of time with the target device in one or more modes is recorded. Data of electromagnetic emissions of the target device during the first period of time with the target device in the one or more modes is also recorded. The recorded data of the photonic emissions and the recorded data of the electromagnetic emissions are correlated to establish one or more electromagnetic emission models for the target device. The one or more electromagnetic emission models enable predictive analysis of emissions by the target device.

A method and apparatus related to developing electromagnetic emission and power models for a target device using photonic emissions thereof are provided. Data of photonic emissions of a target device during a first period of time with the target device in one or more modes is recorded. Data of electromagnetic emissions of the target device during the first period of time with the target device in the one or more modes is also recorded. The recorded data of the photonic emissions and the recorded data of the electromagnetic emissions are correlated to establish one or more electromagnetic emission models for the target device. The one or more electromagnetic emission models enable predictive analysis of emissions by the target device.

According to an example aspect of the present invention, there is provided a method including determining at least one possible downlink control information for the user equipment to schedule the data transmission, checking a scrambled version of the at least one possible downlink control information to determine whether the scrambled version of the at least one possible downlink control information defines valid downlink control information, transmitting the scrambled version of the at least one possible downlink control information and scheduling the data transmission based on the at least one possible downlink control information and if it is determined that the scrambled version of the at least one possible downlink control information defines valid downlink control information, scheduling the jamming transmission based on the scrambled version of the at least one possible downlink control information.

A first communication device for use in a wireless communication system to communicate with a second communication device comprises circuitry configured to transmit probe signals into multiple directions, receive echo signals in response to the transmitted probe signals, and determine the position of a potentially eavesdropping communication device from the received echo signals.