Introduction
This page covers Automatic Track Initiation (ATI).
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This image shows the process of 'ATIing' a plot. Using an M/N of 3/5, 3 plots (i.e. objects which satisfy the threshold and plot extraction criteria) lead to a track on the 4th plot onwards. Classification uses track data (as it needs speed/turn rate information), so in the example above, classification could not start until the 4th sample, unless provisional track information is used. Use of provisional tracks uses previous classification information available from previous plots which ultimately led to a track. This can result in a quicker classification. The downside (for a very low M/N) could be that the track is actually the result of a false alarm, so we end up with a classified false alarm. This should not be a problem if the tracker is tuned correctly.
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