A method for improving dynamic frequency selection (DFS) includes receiving, by an access point, a plurality of pulses in a DFS channel of the access point, determining, by the access point, a plurality of characteristics of the plurality of pulses, varying, by the access point, a threshold for radar detection, and determining, by the access point and based on at least one of the plurality of characteristics, whether the plurality of pulses are radar.

The invention relates to a method for testing the electromagnetic compatibility of a radar detector with at least one onboard pulse signal transmitter, wherein said radar detector and each onboard transmitter are part of the same platform, by means of eliminating the onboard component in the signals received by said radar detector, where the onboard component corresponds to the mix of the direct component and the reflected component onboard, said method comprising a training phase allowing the detected pulses to be divided into classes, grouping together the pulses for which at least two characteristics have a common range of values, and a phase of eliminating, the pulses that belong to the selected classes.

A wireless communication system having base stations and remotely located terminal units. The base stations and the remotely located terminal units communicate data over operational wireless communication links assigned to respective sub-channels having tiles separated by frequency and time. Detectors for analysing extraneous received signals in unassigned tiles of the communication links discriminate between a first type of extraneous signals detected in unassigned tiles of one sub-frame and also detected in other unassigned tiles, and a second type of extraneous signals detected in the unassigned tiles but not detected in other unassigned tiles. The reaction of the base stations is different based on the type of extraneous signals.

An ADS-B spoofer being an false ADS-B squitter, an ADS-B squitter being an aircraft position information signal transmitted to secondary radars, the ADS-B squitters being detected over time at different bearings of the antenna in rotation of the radar, the method comprises, for each secondary radar, at least the following steps: a first step of detection of an ADS-B spoofer; a second step of location of the position in azimuth of the ADS-B spoofer generator, the second step comprising the following operations: measurement of the azimuth of the antenna of the secondary radar and of the received powers on the sum, difference and control patterns of the antenna upon the detection of an ADS-B squitter; generation and storage of at least one assumption of azimuth of the spoofer for each ADS-B squitter detected, the assumption being equal to the sum of the azimuth of the antenna and of the estimated bearing of the spoofer, the estimated bearing being characterized by the ratio of the received power on the sum pattern to the received power on the control pattern on the one hand and by the ratio of the received power on the difference pattern to the received power on the control pattern on the other hand.

A method performed by a network node in a terrestrial network includes detecting, within a spectrum associated with the terrestrial network, a priority radar signal that is not a part of the terrestrial network. Based on detecting the priority radar signal, the network node performs at least one action to mitigate a mutual impact of the terrestrial network and the priority radar signal on each other.

A system for includes master and sniffer devices. The master device includes: first antennas with different polarized axes; a transmitter transmitting a challenge signal via the first antennas from the vehicle to a slave device, where the slave device is a portable access device; and a receiver receiving a response signal in response to the challenge signal from the slave device. The sniffer device includes: second antennas with different polarized axes; and a receiver receiving, via the second antennas, the challenge signal from the transmitter and the response signal from the slave device. The sniffer device measures when the challenge signal and the response signal arrive at the sniffer device to provide arrival times. The master or sniffer device estimates at least one of a distance from the vehicle to the slave device or a location of the slave device relative to the vehicle based on the arrival times.

A radar system includes: a plurality of first receiving devices for generating a plurality of first digital signals according to a plurality of first incoming signals, respectively; and a plurality of second receiving devices for generating a plurality of second digital signals according to a plurality of second incoming signals, respectively. A processing device is arranged to perform a first beamforming operation to generate a plurality of first beamforming signals according to the plurality of first digital signals and a first gain matrix, and to perform a second beamforming operation to generate a plurality of second beamforming signals according to the plurality of second digital signals and a second gain matrix; and to determine an altitude angle of a first object and a second object, and to determine a first azimuth angle of the first object and a second azimuth angle of the second object.

The present description concerns a method of processing by a radio transmitter/receiver (12) of a radio signal (SR) comprising a telecommunications signal disturbed by pulses of a radar signal, the method comprising the steps of: estimating the instantaneous power of the pulses, estimating the ratio of the average power of the telecommunications signal to the instantaneous power of the radar pulses, and modifying the radio signal at the locations of the radar pulses when said ratio is smaller than a threshold.

The disclosure provides systems, apparatuses, and techniques for operating automotive MIMO radars in crowded multi-path environments to obtain reliable detections by linearly predicting whether a bistatic condition occurred. To avoid saturating computing resources processing bistatic detections, the described techniques enable a radar system to quickly identify and discard from the field-of-view radar detections that are likely a result of bistatic conditions. By ignoring unusable radar returns that are likely a result of bistatic conditions, an example radar system can focus on processing radar returns from static conditions, for example, in providing radar-based detections as output to an automotive system that is driving a vehicle in an autonomous or a semi-autonomous mode. In so doing, the example radar system provides a highly accurate static object detector that is sufficiently quick in detecting bistatic conditions for use in vehicle-safety systems as well as autonomous and semi-autonomous control.

A cognitive scheduler and asset allocation system to optimize electronic warfare (EW) resource allocation in reaction to RF signals observed in real-time without the need for prior collected data and without a predetermined scan schedule. The EW system of the present disclosure may further provide optimum resource allocation to minimize response time and to more effectively react to agile threat systems in an area of operations.