Quickest Detection of Intermittent Signals With Application to Vision-Based Aircraft Detection
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 thresho...
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| Veröffentlicht in: | IEEE transactions on control systems technology 2019-11, Vol.27 (6), p.2703-2710 |
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| container_title | IEEE transactions on control systems technology |
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| creator | James, Jasmin Ford, Jason J. Molloy, Timothy L. |
| description | 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. |
| doi_str_mv | 10.1109/TCST.2018.2872468 |
| format | Article |
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| ispartof | IEEE transactions on control systems technology, 2019-11, Vol.27 (6), p.2703-2710 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Aircraft Aircraft detection Bayes methods Bayesian quickest change detection Change detection Delays False alarms Fault diagnosis filtering Random variables sense and avoid Signal detection Vision |
| title | Quickest Detection of Intermittent Signals With Application to Vision-Based Aircraft Detection |
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