Systems and corresponding methods are provided for moving object predictive locating, reporting, and alerting. This method includes receiving moving object data corresponding to a moving object; receiving sensor data from a sensor and merging the received moving object data and the received sensor data into a set of merged data. The example method further includes based on the set of merged data, automatically determining one or more of a predicted location or range of locations for the moving object, a potential path of travel for the moving object, an alert concerning the moving object, and providing the alert. The automatically determining may be further based on one or more historical traits concerning the object, and the geographic medium the object is moving through. The geographic medium may include one or more of terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can receive sensor data associated with an object in a particular airspace from one or more radio frequency sensors. The tracking system can analyze the sensor data relating to the object to identify a type of RF signal being used by the object. A portable countermeasure device can generate one or more disruption signals on one or more targeted bands of spectrum based on the type of RF signal being used by the object.

Provided is a navigation system for operating a navigation system, which navigation system includes a first sub navigation system placed at an aeroplane and a second stationary sub system, which first sub navigation system includes a plurality of radio receivers, which radio receivers are configured to receive signal from a plurality of navigation satellites, which navigation system includes at least one processor, which processor is configured to perform calculation of the actual position data, which navigation system includes a radio transmitter, which radio transmitter is configured to transmit position data to communication satellites. The communication satellites can include radio transmitters for transmitting position data to a ground based receiver, which second sub system includes at least one server. Hereby can position data in that way the position of that aeroplane will be calculated and the actual position data and actual time will be stored in the server.

Systems and methods for providing surveillance services for an unmanned vehicle are described herein. One embodiment of a method includes receiving surveilled data from a surveillance monitor regarding the unmanned aerial vehicle and at least one other aircraft, receiving trajectory data from at least one trajectory data source, and comparing the surveilled data with the trajectory data to determine whether the unmanned aerial vehicle is on path to collide with a third party aerial vehicle. In some embodiments, in response to determining that the unmanned aerial vehicle is on path to collide with the third party aerial vehicle, the method includes determining an alternate route for the unmanned aerial vehicle; and communicating at least a portion of the alternate route to the unmanned aerial vehicle.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

A distributed airborne acoustic anti-drone intelligence system (DAAADS) which senses an unmanned aerial vehicle (UAV) approaching a protected site, predicts trajectories of the UAV which intersect the protected site and identifies the type of the UAV. When at least one of the trajectories intersect the protected site, an alarm and predicted trajectories are transmitted to an air defense unit, which neutralizes the UAV. Debris generated by the neutralization is tracked and trajectories of the debris are predicted. When a trajectory of the debris is predicted to intersect with the protected site, an alert is transmitted to the protected site.

An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.

A flight management system for unmanned aerial vehicles (UAVs), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV carries on-board a 4G modem, an antenna connected to the modem for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

A method, medium, and system to receive flight parameter data relating to a plurality of flights, the flight parameter data including indications of aircraft performance based navigation (PBN) capabilities, flight plan information, an aircraft configuration, and an airport configuration for the plurality of flights; assign probabilistic properties to the flight parameter data; receive accurate and current position and predicted flight plan information for a plurality of aircraft corresponding to the flight parameter data; determine a probabilistic trajectory for two of the plurality of aircraft based on a combination of the probabilistic properties of the flight parameter data and the position and predicted flight plan information, the probabilistic trajectory being specific to the two aircraft and including a target spacing specification to maintain a predetermined spacing between the two aircraft at a target location with a specified probability; and generate a record of the probabilistic trajectory for the two aircraft.

Systems and methods for identifying a synthetic track are provided. In one embodiment, a method can include receiving, by one or more computing devices, a plurality of emissions from one or more platforms. The emissions can be generated in an emission sequence and are generated to create a track indicative of an object travel path. The method can further include determining, by the one or more computing devices, whether an irregularity associated with the track exists based at least in part on one or more of the emissions. The method can include rejecting, by the one or more computing devices, the track as an actual object travel path when it is determined that the irregularity associated with the track exists.