A computer-implemented method for tracking multiple targets includes identifying a plurality of targets based on a plurality of images obtained from an imaging device carried by an unmanned aerial vehicle (UAV) via a carrier, determining a target group comprising one or more targets from the plurality of targets, and controlling at least one of the UAV or the carrier to track the target group.

A ballistic detection system includes a first camera; a second camera; a solar block device associated with at least one camera of the first and second cameras, wherein the solar block device is configured and arranged to block a solar disc in a field of view of the at least one camera; and a ballistics analysis computer configured to obtain image data captured by the first and second cameras, determine at least two points in three-dimensional space, which correspond to image artifacts of a projectile, using intrinsic and extrinsic parameters of the first and second cameras, define a trajectory of the projectile within a target volume using the at least two points in three-dimensional space, and find a point of intersection of the trajectory of the projectile with an object associated with the target volume.

An example tracking signal device comprises a housing and a light source disposed within the housing. A window is defined within the housing optically downstream of the light source. The device further comprises a sensor configured to receive a first beam of radiation and a controller operably coupled to (i) the light source and (ii) the sensor. The controller is configured to control the light source to emit a second beam of radiation based at least in part on receipt of the first beam of radiation by the sensor.

An unmanned aerial system (UAS) detection device includes a sensor having programmed instructions to cause the sensor to scan energy in an electromagnetic spectrum; process the energy in the electromagnetic spectrum into bursts; determine whether the bursts are valid UAS bursts based on burst criteria; and correlate the bursts into a single signal.

The invention concerns a method of communication between a monitoring system (61) monitoring a roaming entity and an electronic communication tracking device (TR) linked to the roaming entity. The method includes the following steps: obtaining the current geographical position of the tracker (TR) by indirect geolocation and transmit this to the monitoring system (61); comparing the current geographical position that has been obtained with cartographic data of areas associated with restricted communication, in the event of a match, stopping indirect geolocation; measuring and recording at least one of the tracker's (TR) environmental factors in order to determine an environmental change relating to the end of roaming within the area of restricted communication; starting satellite geolocation and comparing the position that has been obtained with cartographic data of areas associated with authorized communication, if an environmental change is determined relating to the end of roaming; and restarting indirect geolocation if there is a match.

A computer-implemented method for tracking multiple targets includes identifying a primary target from a plurality of targets based on a plurality of images obtained from an imaging device carried by an aerial vehicle via a carrier, determining a target group including one or more targets from the plurality of targets, where the primary target is always in the target group. Determining the target group includes determining one or more remaining targets in the target group based on a spatial relationship or a relative distance between the primary target and each target of the plurality of targets other than the primary target. The method further includes controlling at least one of the aerial vehicle or the carrier to track the target group as a whole.

Provided is a technology for increasing accuracy of position estimation by estimating a position of a signal source based on an error due to altitudes of a sensor and a signal source and an error due to a pitch of an aircraft as well as an error due to curvature of the earth. At this time, a position estimation method may include receiving measurement data from a plurality of sensors, estimating first position data of the signal source based on the measurement data, identifying an altitude error of the first position data, and estimating second position data that is data obtained by correcting the first position data based on the altitude error.

A Vehicle Localization Augmentation for Dismounts (VLAD), which extends the technology used by dismount localization systems to include the capability of riding and aligning inertial systems to a vehicle. VLAD takes the proven Warfighter's Integrated Navigation System (WINS) and, when appropriate, increases capabilities by investigating aiding sensors, algorithms, and frameworks to align dismount inertial sensors to vehicle inertial sensors. The two focuses of this effort are initialization and maintaining the solution quality. Initialization is the process where an inertial unit calculates sensor biases in an effort to minimize systemic errors in the localization solution. This process is highly related to the sensor being used. High quality sensors, for example, perform a gyrocompassing operation on initialization. Gyrocompassing measures the Earth's rotation and gives the absolute heading relative to the Earth. On man-portable inertial systems, this process can take 15 minutes.

A method and apparatus for receiving signals from an unknown transmitting source and providing the location of the unknown transmitting source comprising a series of channels for receiving signals radiated by the unknown transmitting sources, generating preprocessed time domain data and generating a SAR image depicting a location of the unknown transmitting source, and a processor for processing the preprocessed time domain data to enhance a pixel value at each pixel location within the SAR image by summing signal data from each channel related to each pixel location to generate an enhanced SAR image.

A single-antenna device includes a single antenna, at least one processor, and at least one memory. The single-antenna device is operable to receive a signal including at least one frame. Each of said frame includes a repeating portion. The single-antenna device determines a difference of phase and amplitude of the repeating portion and further determines whether the signal is transmitted from a trusted source based at least in part on the difference of phase and amplitude of the repeating portion.