A tracking method and system includes receiving a primary radar report after establishment of a real track of the aircraft, determining a false track slant range associated with the aircraft based on an effective altitude of the aircraft above a ground or water surface and an aircraft slant range defined between the radar arranged on the ground surface and the aircraft, determining a capture area based on the false track slant range and an azimuth of the aircraft, and determining whether the primary radar report is a false report by comparing a position of the aircraft determined from the primary radar report to the capture area.

A parking management system that facilitates motorist guidance, payment, violation detection, and enforcement using highly accurate space occupancy detection, unique vehicle identification, guidance displays, payment acceptance, violation detection, enforcement data generation, electronic booting, and towing management is described. The system enables reduced time to find parking, congestion mitigation, accurate violation detection, and easier enforcement, and increased payment and enforcement revenues to cities.

A parking management system that facilitates motorist guidance, payment, violation detection, and enforcement using highly accurate space occupancy detection, unique vehicle identification, guidance displays, payment acceptance, violation detection, enforcement data generation, electronic booting, and towing management is described. The system enables reduced time to find parking, congestion mitigation, accurate violation detection, and easier enforcement, and increased payment and enforcement revenues to cities.

A method of inspecting a static monitoring installation including creating a reference image from signal reflections from static objects in a monitoring space determining a reference value from the reflections of the reference image, creating a comparison image from the signal reflections from the static objects in the space, wherein the comparison image is recorded with a time offset after the reference image, determining at least one comparison value from the reflections of the comparison image, and outputting a fault signal when a deviation of the comparison value and the reference value exceeds a threshold value.

The invention relates to a guidance system for leading an aircraft to a reference point, characterised in that it comprises: An active beacon capable of emitting a first electromagnetic signal in a first emission cone, defined by an apex coinciding with the reference point, a first beam angle and a first axis corresponding to an emission direction; and a multi-beam radar, installed on board the aircraft, operating in reception mode and capable of performing deviation measurements on a signal received from the active beacon, the multi-beam radar comprising an antenna adapted for receiving in at least two spatially separate reception cones.

An instrument landing system (ILS) is described. The ILS comprises a plurality of antennas and a plurality of antenna radio units (ARUs). Each ARU of the plurality of ARUs operates to generate a modulated RF signal provided to a different one of the plurality of antennas for transmission. The ILS further comprises a central processing unit that operates to control the ARUs to adjust synchronization between the modulated RF signal provided by the ARUs to the plurality of antennas for transmission.

A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.

A drone classification device is provided. The drone classification device includes a radio signal receiver configured to receive a radio signal, and a radio signal analyzer configured to determine physical characteristics of the received radio signal, to compare the determined physical characteristics of the received radio signal with a plurality of reference characteristics, each reference characteristics describing a drone class of a plurality of drone classes, and to classify a drone into a drone class of a plurality of drone classes depending on a result of the comparison.

Systems and methods for detection and reporting of small targets to an operational area. Exemplary embodiments are presented to detect targets such as avian species, UAS, UAV, and drones, and transmit unique small target identifier information via data link, such as ADS-B, to an operational area.

The present invention comprises radar detection of rail car truck assembly features to determine the presence of a rail vehicle comprising a car, axle count of the vehicle, and the travel direction of and speed of a rail car.