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A stretchy ruler will give false measurements, but are not all human-made measuring devices similarly fallible?
At each scan, the sensor received a random number of clutter (false) measurements.
Moreover, there might be some miss-detections of these projection and a number of false measurements.
The false measurements are assumed to distribute uniformly in the surveillance area.
Consider a two target case, with unity probability of detection and gating, and no false measurements.
As a result, there are an average of 2.2 false measurements per sensor.
Similar(39)
The false alarm probability represents the probability of detecting a false measurement due to noise interference.
Each false measurement is generated at a random location uniformly distributed within the surveillance region.
Specifically, in our approach, we use a conjunctive rule based majority voting algorithm to collaboratively detect false measurement data inserted by compromised phasor measurement units (PMUs).
This is particularly true in scenarios for which P d <1, in which case there is an increased likelihood that a false measurement will be associated with a candidate location whenever a sensor fails to make a target detection.
A new track arising from the DPA is initialized with an LR-score LR0 = 1/10 · B. Therefore, it is not assumed to be confirmed, unless it can be observed by the TM for at least one additional step, depending on the chosen values for track detection PD and the mean false measurement density ρF.
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