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Probabilistic identification of targets and track initiation, for radar data with clutter, separates clutter and compares calculated probability functions with significance thresholds
Probabilistic identification of targets and track initiation, for radar data with clutter, separates clutter and compares calculated probability functions with significance thresholds
The clutter field is divided into a given number of multidimensional zones with a time axis. From a measured plot in a zone, comparative magnitudes are calculated. For each, a probability function (C) is also calculated. A zone with statistically-distributed plots is established, containing clutter exclusively. For each probability function, a range of values with an upper threshold x is determined, such that with the upper threshold, a given significance level is reached. For a zone, each of the comparative magnitudes from the measured plots is compared with the respective probability function. In a zone with a target, the target is detected when at least one of the comparative magnitudes lies within the range of values.
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