Abstract
Radar-to-ESM (electronic support measurement) correlation is one of the key subjects in military multisensor data fusion. Based on fuzzy synthetic function and statistical theory, a triple-threshold radar-to-ESM correlation algorithm is presented, which is suited for the situations where each radar track is specified by different number of measurements. The analytic expressions of the three thresholds are derived. Since the middle and low thresholds depend on the azimuth difference between the true ESM track and radar track, which varies with situations, and it is time-consuming to obtain the values of the two thresholds, the approximate solutions to the middle and high thresholds are also obtained. Simulation results show the feasibility of the algorithm.
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