A system and method of landing an aircraft. The system includes a human machine interface responsive to an input from an operator, and a processor. A region of interest for the aircraft is selected. A representation of a potential landing zone associated with the region of interest is presented at a human machine interface. A suitability of the potential landing zone for landing is evaluated to obtain an evaluation score. The evaluation score for the potential landing zone is presented at the human machine interface. An input is received at the human machine interface to select the potential landing zone. The aircraft is landed at the selected landing zone.

Methods and systems are provided for guiding or otherwise assisting energy management of an aircraft radar vectoring en route to a runway. A method involves determining a predicted lateral trajectory for the radar vectoring in accordance with interception criteria, wherein the lateral trajectory comprises a sequence of segments for satisfying the interception criteria from a current location of the aircraft and each navigational segment of the sequence is associated with an anticipated aircraft heading assignment. The method determines a reference vertical trajectory corresponding to the lateral trajectory, determines a target value for an energy state parameter of the aircraft at the current location on the lateral trajectory using the reference vertical trajectory, and provides indication of a recommended action to reduce a difference between a current value for the energy state parameter and the target value.

Methods and systems are provided for guiding or otherwise assisting energy management of an aircraft radar vectoring en route to a runway. A method involves dynamically determining an updated predicted lateral trajectory for the radar vectoring when the current aircraft status fails to satisfy a trajectory execution criterion for a previously-predicted lateral trajectory by iteratively adjusting a runway interception point defining a segment aligned with the runway until arriving at the updated predicted lateral trajectory for which a stabilization criterion for the runway can be satisfied. The method determines a target value for an energy state parameter of the aircraft at a current location on the updated predicted lateral trajectory and provides indication of a recommended action to reduce a difference between a current value for the energy state parameter and the target value.

Methods and systems for automatic sequencing of an ownship aircraft behind a lead aircraft on an approach to a runway. The method determines that the ownship aircraft is in an instrument approach. A pilot selection of the lead aircraft is confirmed as matching the lead aircraft identified in an air traffic control (ATC) command. The method includes calculating, an arrival time of the lead aircraft at the runway; processing the arrival time of the lead aircraft at the runway with a desired separation time to determine a target point for the ownship aircraft to merge onto a centerline of the runway; and automatically, and without further human input, generate lateral guidance, vertical guidance, and speed targets for the ownship aircraft to join the runway centerline at the target point at the desired separation time after the lead aircraft.

A radar system for providing position information to a mobile unit is provided. The radar system comprises a receiving interface. The receiving interface is adapted to receive radio frequency, RF, signals. The radar system further comprises a processing unit. The processing unit is adapted to process the received RF signals. The processing unit is adapted to determine an occupation of a predetermined time-frequency space by the received RF signals. The radar system further comprises a transmitting interface which adapted to transmit information on an intention of the radar system to occupy a specific portion of the predetermined time-frequency space. The radar system further comprises a plurality of beacon units. The beacon units are adapted to provide position information of the radar system on the specific portion in the predetermined time-frequency space, when it is determined that the specific portion of the predetermined time-frequency space is not occupied.

A system determines a dynamic collision awareness envelope for a vehicle. The system includes at least one vehicle motion sensor, an operator Line-Of-Sight detector and a processor. The vehicle motion sensor periodically provides measurements relating to the motion of the vehicle in a reference coordinate system. The operator Line-Of-Sight detector periodically provides information relating to the direction of the Line-Of-Sight of an operator of the vehicle, in a vehicle coordinate system. The processor is coupled with the at least one vehicle motion sensor, and with the operator Line-Of-Sight detector. The processor determines an operator vector from the direction of the Line-Of-Sight of the operator. The processor further determines an operational vector at least from the motion of the vehicle. The processor periodically determines a collision awareness envelope respective of each of the operational vectors, from the operator vector and the respective operational vector.

Automated air traffic control systems and methods may include one or more sensors, such as radar sensors, that are positioned and oriented at opposite ends of a runway. The sensors may detect aerial vehicles on the runway, as well as aerial vehicles within approach corridors at opposite ends of the runway, and other aerial vehicles proximate the runway. Based on data received by the sensors, various characteristics of aerial vehicles can be determined, and instructions for the aerial vehicles can be determined based on the detected characteristics. Then, the aerial vehicles may utilize the determined instructions to coordinate their operations proximate the runway, which may include takeoff, taxiing, and/or landing operations. Further, speech-to-data processing may be used to translate between data and speech or audio input/output in order to enable coordination between unmanned aerial vehicles, manned aerial vehicles, and combinations thereof.

A neural network learning method for aircraft landing assistance, the method includes receiving a set of labeled learning data comprising sensor data associated with a ground truth representing at least a landing runway and an approach light bar; running an artificial neural network deep learning algorithm on the learning data set, the deep learning algorithm using a cost function called runway threshold trapezium, parameterized for the recognition of a runway threshold and of approach light bars; and generating a trained artificial intelligence model for landing runway recognition.

A method for monitoring the take-off and/or landing procedure of an aircraft (1), in particular for an electrical, vertical take-off and landing aircraft (1), in which a monitoring region of a take-off and landing site (2) is monitored by at least one microphone (4, 5) of a monitoring station to detect sound emission data of an aircraft (1) taking off or landing as it approaches or departs and the detected sound emission data are transmitted from the monitoring station to an evaluation unit. The detected sound emission data are evaluated by the evaluation unit by comparing the detected sound emission data to characteristic sound emission data.

A method for processing coherent MIMO radar processing DDMA waveforms and includes NT.sub.X transmitters and NR.sub.X receivers, comprising the steps of a) generating waveforms on at most NT.sub.X transmitters, the waveforms, modulo the pulse repetition frequency Fr, being identical from one transmitter to the next, to within a phase ramp specific to each transmit path; b) generating, for at least one receiver, a Range-Doppler representation of the echoes of the transmitted waveforms, where, for each receiver, the echoes of a transmitter over a plurality of range cells occupy at least one frequency cell in the Doppler spectrum, called signal band, each signal band being specific to one of the transmitters, the placement of the signal bands in the Doppler spectrum being determined according to the phase ramp applied to each transmitter, the waveforms being generated so as to leave a portion of the Doppler spectrum between two signal bands unoccupied; c) identifying the transmitter corresponding to each signal band, on the basis of the Range-Doppler representation of the echoes of the transmitted waveforms. The method is particularly suitable for the millimetre band (W band), for automotive radar applications or applications of radar on board aeroplanes or drones, for the detection of fixed or moving target relative to the carrier.