An alignment tool and a method are disclosed for alignment of a reflector arrangement. The reflector arrangement comprises a flat reflective surface which is configured to reflect an electromagnetic wave signal between a first antenna site and a second antenna site. The alignment tool comprises a camera circuit for capturing images of a field-of-view, an input circuit configured to receive a user input comprising the field-of-view coordinates of the first antenna site, a processing circuit configured to compute alignment information from the user input, and a display circuit configured to display the field-of-view and the alignment information.

An alignment tool and a method are disclosed for alignment of a reflector arrangement. The reflector arrangement comprises a flat reflective surface which is configured to reflect an electromagnetic wave signal between a first antenna site and a second antenna site. The alignment tool comprises a camera circuit for capturing images of a field-of-view, an input circuit configured to receive a user input comprising the field-of-view coordinates of the first antenna site, a processing circuit configured to compute alignment information from the user input, and a display circuit configured to display the field-of-view and the alignment information.

A system for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.

A system for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.

The present disclosure provides a data processing method and a robot with the same. The robot includes: an electromagnetic wave receiver configured to receive at least two electromagnetic wave signals transmitted by at least two electromagnetic wave transmitters on a charging device within a preset time range; a demodulator configured to demodulate the at least two electromagnetic wave signals received by the electromagnetic wave receiver to obtain at least two corresponding electromagnetic wave demodulation data; a processor configured to determine electromagnetic wave demodulation control data based on the at least two obtained electromagnetic wave demodulation data and preset electromagnetic wave demodulation data; and a controller configured to move the robot according to the electromagnetic wave demodulation control data until the robot is docked at the charging device. In the above-mentioned manner, the robot is facilitated to select the plurality of electromagnetic wave demodulation data to smoothen the docking process.

The present disclosure provides a target observation method, a related device and a system. The method includes: displaying, on a display screen of a remote control device, a target tracked by an unmanned aerial vehicle (UAV); determining, when a visual angle adjustment operation for the target that is input by a user into the remote control device is received, a visual angle adjustment parameter according to the visual angle adjustment operation; and adjusting an observation perspective for the target according to the visual angle adjustment parameter. This can simplify operations of the user during the adjustment of the observation perspective for the UAV and improve efficiency in the adjustment of the observation perspective for the target.

A data fusion system for combining and parsing data from multiple EO and RF threat warning systems, the system including a plurality of input systems capable of providing feature-level data about an environment in which they are operating. Each input system may be configured to output information regarding its capabilities and the environment in which it is operating. A fusion block is placed in operative communication with the plurality of input systems and battlespace information and configured to algorithmically combine the data and determine the presence or absence of a threat. An output may be placed in operative communication with the fusion block, thereby allowing the fusion block to provide information and/or notifications to the relevant parties and/or systems.

An exemplary radio-frequency (RF)-based navigation reference system uses one or more non-collocated and time-synchronized direction-finding transmitters to enable a client receiver to estimate its own 3-D position, velocity and time (PVT) using direction-finding (DF) waveforms obtained from said reference transmitters. At least one reference transmitter is sufficient for obtaining a 3-D PVT solution provided the client receiver is equipped with an accurate (low-drift) local clock such as a chip-scale atomic clock (CSAC). All other client receivers require at least two reference transmitters to estimate their 3-D PVT.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.

A mobile body detection means 85: determines, in the case where a position of a first mobile body and a position of a second mobile body are approximately the same, that a mobile body is detected at the position; and determines, in the case where the position of the first mobile body and the position of the second mobile body are different and any of first reliability and second reliability exceeds a threshold, that a mobile body is detected at a position of a mobile body corresponding to the reliability exceeding the threshold.