A method of a base station in a mobile communication system is provided, which includes receiving position information of at least one UE; determining an initial position of a UAV based on the position information; transmitting, to the UAV, control information related to the initial position and association information between the at least one UE and the UAV; receiving, from the UAV, first feature information related to a communication state between the at least one UE and the UAV; and transmitting control information related to a movement position of the UAV based on an output of a reinforced learning network to which the first feature information is input.

An RF position tracking system for wirelessly tracking the three-dimensional position of a tracked object. The tracked object has at least one mobile antenna and at least one inertial sensor. The system uses a plurality of base antennas which communicate with the mobile antenna using radio signals. The tracked object also incorporates the inertial sensor to improve position stability by allowing the system to compare position data from radio signals to data provided by the inertial sensor.

A landing zone designation system is provided that includes a master and a slave landing strobes. A detector on an aircraft can detect master and slave optical signals, and a processor can be coupled to the detector to compute placement of the aircraft relative to the master and slave landing strobes. A method is provided for designating a landing zone for an aircraft. The method includes emitting first and second optical signals, where a determination is made whether the aircraft is to land at a first landing zone or a second landing zone depending on a difference between the first optical signal and the second optical signal. A distance to landing within the determined first landing zone or the second landing zone can also be determined.

Search points in a search space may be projected onto images from cameras imaging different parts of the search space. Subimages, corresponding to the projected search points, may be selected and processed to determine if a target object has been detected. Based on subimages in which target objects are detected, as well as orientation data from cameras capturing images from which the subimages were selected, positions of the target objects in the search space may be determined.

Disclosed are an unmanned airborne ground penetrating radar system and an inspection method for a dam hidden danger detection, including an unmanned aerial vehicle (UAV) system; the UAV system includes an unmanned aerial vehicle, a sensor platform, a radar platform, a forward-looking laser rangefinder and a ground penetrating radar; the sensor platform is installed on the UAV, and the forward-looking laser rangefinder is installed on the sensor platform, and the radar platform is installed on the UAV at one side of the sensor platform; moreover, the ground penetrating radar is installed on the radar platform, and a variable polarization ground penetrating radar antenna array is arranged in the ground penetrating radar; the variable polarization ground penetrating radar antenna array includes a substrate, and a plurality of groups of orthogonal dual-polarization Vivaldi antenna transmitting subarrays and receiving subarrays are mounted on the substrate.

A method and system for estimating an angular deviation from a reference guidance axis, a position and a velocity of an aircraft. The system includes an offset collection module for collecting an offset measured by a measurement module, a position vector collection module for collecting a position vector measured by a position vector measurement module, a velocity vector collection module, a module for estimating the angular deviation of a reference guidance axis with respect to the approach axis towards the runway, for estimating the position of the aircraft with respect to the runway and for estimating the velocity of the aircraft with respect to the runway.

Airborne LiDAR bathymetry systems and methods of use are provided. The airborne LiDAR bathymetry system can collect topographic data and bathymetric data at high altitudes. The airborne LiDAR bathymetry system has a receiver system, a detector system, and a laser transmission system.

A method of a base station in a mobile communication system is provided, which includes receiving position information of at least one UE; determining an initial position of a UAV based on the position information; transmitting, to the UAV, control information related to the initial position and association information between the at least one UE and the UAV; receiving, from the UAV, first feature information related to a communication state between the at least one UE and the UAV; and transmitting control information related to a movement position of the UAV based on an output of a reinforced learning network to which the first feature information is input.

The present invention discloses a APNT service positioning and integrity monitoring method and system. The method includes the following steps: determining a positioning accuracy requirement in a target scene; when the positioning accuracy requirement is high-accuracy positioning, determining a position of an aircraft by adopting a combined positioning algorithm, and monitoring the integrity of a combined positioning by adopting a multi-solution separation mode; when the positioning accuracy requirement is low-accuracy positioning, judging whether the aircraft is a high-altitude user; if not, adopting an air-to-air positioning algorithm for a high-altitude user and a low-altitude user based on LDACS to determine the position of the aircraft, and adopting a least square residual method to monitor the integrity of the air-to-air positioning. According to different requirements of users on positioning accuracy and actual application conditions, the present invention can provide a variety of APNT alternative solutions for an aircraft.

An unmanned aerial vehicle (UAV) control system includes a first UAV, a second UAV that flies near the first UAV during a flight of the first UAV and is configured to obtain wind information about wind, and flight control means for controlling the flight of the first UAV based on the wind information obtained by the second UAV.