In this brief, we consider the problem of quickly detecting changes in an intermittent signal that can (repeatedly) switch between a normal and an anomalous state. We pose this intermittent… Click to show full abstract
In this brief, we consider the problem of quickly detecting changes in an intermittent signal that can (repeatedly) switch between a normal and an anomalous state. We pose this intermittent signal detection (ISD) problem as an optimal stopping problem and establish a quickest ISD rule with a threshold structure. We develop bounds to characterize the performance of our ISD rule and establish a new filter for estimating its detection delays. Finally, we examine the performance of our ISD rule in both a simulation study and an important vision-based aircraft detection application where the ISD rule demonstrates improvements in detection range and false alarm rates relative to the current state-of-the-art aircraft detection techniques.
               
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