A guided projectile including a precision guidance munition assembly utilizes at least one maneuver envelope to optimally control movement of at least one canard to steer the guided projectile during flight. The maneuver envelopes optimize movements of the at least one canard that effectuate movement in either the range direction or the cross-range direction, or both. The maneuver envelope enables optimal timing such that maneuvering in one direction does not come at the expense of maneuver authority in the other direction.

A method of targeting, which involves capturing a first video of a scene about a potential targeting coordinate by a first video sensor on a first aircraft; transmitting the first video and associated potential targeting coordinate by the first aircraft; receiving the first video on a first display in communication with a processor, the processor also receiving the potential targeting coordinate; selecting the potential targeting coordinate to be an actual targeting coordinate for a second aircraft in response to viewing the first video on the first display; and guiding a second aircraft toward the actual targeting coordinate; where positive identification of a target corresponding to the actual targeting coordinate is maintained from selection of the actual targeting coordinate.

A system comprising an unmanned aerial vehicle (UAV) configured to transition from a terminal homing mode to a target search mode, responsive to an uplink signal and/or an autonomous determination of scene change.

A system and method to aid in guidance, navigation and control of a guided projectile including a precision guidance munition assembly is provided. The system and method obtain raw position data during flight of the guided projectile, the raw position data including a plurality of position data points from the guiding sensor for determining positions of the guided projectile, establish a window including a portion of the plurality of position data points, smooth the portion of the plurality of position data points in the window, and determine a reduced noise position estimate of the guided projectile, based, at least in part, on the smoothed portion of the plurality of position data points in the window. The system and method may determine a velocity estimate of the guided projectile and predict an impact point of the guided projectile relative to a target.

A system includes and maintains a machine learning algorithm. The machine learning algorithm is trained to identify non-targets in an environment. The system receives an image of the environment, and identifies the non-targets in the image using the trained machine learning algorithm. The system then generates a firing cut out map for overlaying on the image of the environment based on the identified non-targets in the image of the environment.

A method includes removably coupling a projectile interface of a dongle to a dongle interface of a projectile. The method also includes loading a dongle code from the dongle onto the projectile. The dongle code identifies a pulse repetition frequency (PRF) code to be recognized by the projectile. The dongle code may be unique to an operator of the projectile. The method may further include, prior to loading the dongle code onto the projectile, loading an operator code onto the projectile, where the dongle code is loaded onto the projectile in response to the projectile authorizing the operator code. There may be a limited number of uses of the dongle code with different projectiles, and/or there may be a limited amount of time for using the dongle code. A companion electronic device may be used to authenticate the dongle.

Methods, systems, and devices solving Euler’s rotational rigid body equation of motion, formed within two non-inertial frames of reference, that determine the vector inconstant variables of angular acceleration, velocity, and trajectory using a single piezoresistive accelerometer sensor, an AC coupling algorithm and 1.sup.st and 2.sup.nd running integrals to in-flight acquire rotational inconstants in high-density Terramedia Terraflight and determine a Penetrator’s loading profiles and method to parse vector Terraflight for rotational Pitch and Yaw enabling precision trajectory tracking utilizing three axial facing piezoresistive accelerometers, a differencing algorithm and 1.sup.st and 2.sup.nd running integrals enabling Penetrator flight control and precision guidance.

A system comprising an unmanned aerial vehicle (UAV) configured to transition from a terminal homing mode to a target search mode, responsive to an uplink signal and/or an autonomous determination of scene change.

Apparatus and methods for reducing device testing times, such as missile testing times, are disclosed. The apparatus and methods may execute tests or portions of tests in a parallel manner. The apparatus and methods ensure that tests or portions of tests executing in parallel do not interfere with one another. The apparatus and methods may assess the current state of the test environment to confirm whether it is acceptable to advance one or more tests. If the testing environment is not acceptable for a test to continue executing, the apparatus and methods do not allow the test to advance. The testing environment may be monitored by measuring one or more vital signs, where the vital signs may indicate whether it is safe for a particular test to advance. As such, the apparatus and methods provide an efficient way to test devices such as missiles.

A motion analysis system includes an acceleration measuring device, an acceleration processor, a velocity processor, a distance processor, a peak velocity processor, a profile correlation processor, and a vehicle action processor. The system determines a time for an initiation of an action for a vehicle by determining that a distance traveled by the vehicle is greater than a safe separation distance and that a peak velocity is greater than a minimum velocity. The system initiates the action for the vehicle based on the verified position of the vehicle and the confirmed profile data as determined by the profile correlation processor, and based on the determination that the distance traveled by the vehicle is greater than the safe separation distance and that the peak velocity is greater than the minimum velocity as determined by the vehicle action processor.