- Why PFE is higher at 99% Confidence Level than at 95% Confidence Level and why it’s increasing in early years?
Srinath SridharIntermediate
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The probability of false alarm (PFA) refers to the probability that a false target will be declared as actual (a false positive). The confidence level is a measure of the reliability of a detection system, expressed as a percentage. A higher confidence level indicates a lower probability of false alarm.
The reason that the PFA is higher at a 99% confidence level than at a 95% confidence level is that a higher confidence level requires a more stringent test of the data, which in turn reduces the likelihood of false alarms. When the confidence level is increased, the test becomes more selective and therefore less likely to declare a false positive.
As for why the PFA might be increasing in early years, there could be several factors at play. For example, it could be due to changes in the environment being monitored (such as increased noise or clutter), changes in the equipment being used (such as aging or wear and tear), or changes in the algorithms used to process the data. Additionally, it’s possible that the increase in PFA is due to a growing number of false targets being generated by the system, which could be a result of software bugs or incorrect system configuration.
It’s important to identify the cause of the increase in PFA and take appropriate action to address the issue. This may involve adjusting the equipment, improving the algorithms, or modifying the operating procedures to reduce the number of false alarms.