System and method for marksmanship training

An augmented reality ranging and lead determination system for a target comprising:

• a first remote unit, having a first processor, and a first memory and a first augmented reality display, operatively connected to the first processor;
• a second remote unit, having a second processor, and a second memory, and a second augmented reality display, operatively connected to the second processor;
• the first memory and the second memory including a set of instructions that, when executed, cause the system to perform the steps of:
• initiating, by the first remote unit, a track of the target;
• determining, by the first remote unit, a first range to the target;
• determining, by the first remote unit, a first weapon position;
• determining, by the first remote unit, a first remote unit position;
• calculating, by the first remote unit, a target path based on the first weapon position, the first remote unit position and the first range to target;
• sending, from the first remote unit to the second remote unit, the target path;
• determining, by the second remote unit, a second range to target;
• calculating, by the second remote unit, a first time to target;
• determining, by the second remote unit, a second weapon position;
• displaying, on the second augmented reality display, a first virtual laser based on the second weapon position;
• calculating, by the second remote unit, a first lead distance based on the first time to target;
• displaying, on the second augmented reality display, a first phantom target at the first lead distance;
• comparing, by the second remote unit, the first phantom target to the first virtual laser to determine a first coincidence condition;
• and,
• generating a fire alert message, by the second remote unit, upon receipt of the first coincidence condition.

An augmented reality ranging and lead determination system for a target comprising:

• a tactical computer, having a first processor and a first memory;
• a spotter unit, having a second processor, a second memory, and a camera, operatively connected to the tactical computer;
• a remote unit, having a third processor, a third memory, and an augmented reality display, operatively connected to the tactical computer;
• the first memory, the second memory and the third memory including a set of instructions, that when executed, cause the system to perform the steps of:
• deriving a weapon path from a movement of a weapon trained on the target;
• deriving a first range to target from the remote unit;
• deriving a first target trajectory from the weapon path and the first range to target;
• deriving a camera path from a movement of the camera trained on the target;
• deriving a second range to target from the spotter unit;
• deriving a second target trajectory from the camera path and the second range to target;
• deriving a third target trajectory from the first target trajectory and the second target trajectory;
• calculating a lead from the third target trajectory;
• and,
• displaying a phantom target, on the third target trajectory, at the first lead, on the augmented reality display.

An augmented reality ranging and lead determination system for a target comprising:

• a tactical computer, having a first processor and a first memory;
• a neural network, having an input layer and an output layer, operatively connected to the tactical computer and the first memory;
• a remote unit, having a second processor and a second memory, and an augmented reality display, operatively connected to the tactical computer;
• the first memory and the second memory including a set of instructions, that when executed, cause the system to perform the steps of:
• deriving a weapon path from a movement of a weapon trained on the target;
• deriving a range to target from the remote unit;
• deriving a target trajectory from the weapon path and the range to target;
• training the neural network with the target trajectory and the range to target;
• submitting a current set of target path data to the input layer;
• and,
• reading a predictive set of lead data from the output layer.