A gain adjustable fast tracking(GAFT)algorithm is proposed to improve the tracking precision and reaction speed in tracking systems. The algorithm can quickly locate the position of the goal
and realize the precise tracking under the weaker signal. The GAFT determines the linear change interval of the goal in the sensor from the relation among the flare imaging size of the goal in four-quadrant detector
location and output signal
Then
the relation between mobile goal and output signal change within the linear change interval can be established. The sum of the four-quadrant detector output signals is real-time counted
and is regarded as a target flare signal strength.The change rate of the flare signal strength is then calculated. Then
the adaptive learning method is used to get the change tendency of the signal
and to realize the dynamic adjustment of signal gain so that the tracking precision can be improved when signal is weaker.Experimental results show that the GAFT increases the tracking precision to 0.0497 mm by changing the radius of goal
adjusting flare of signal intensity and other measures in linear intervals.
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