Mean Targeting
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A style of targeting that averages the data from a few recent scans to use as input to its prediction algorithm.
Linear Mean
Given the enemy's current position and their position t
ticks in the past, assume the enemy will continue to move with the same direction and average speed deduced from these scans. The pseudocode would look like this:
 Take a present scan position and an older scan position,
t
ticks in the past. Ignore actual heading and velocity.  Find the angle from from the old scan to the new one. This is the mean heading.
 Find the distance between the two points and divide by
t
. This is the mean velocity.  Use these values as input to a linear targeting algorithm.
Circular Mean
Given a collection of x
recent scans of the enemy, calculate his average velocity and turn rate and assume that he will continue to move with those values. The pseudocode would look like this:
 Iterate over the group of scans, summing the
x  1
heading changes andx
velocities.  Divide the sum of heading changes by
x  1
to find the mean heading change.  Divide the sum of velocities by
x
to find the mean velocity.  Use these values as input to a circular targeting algorithm.
