Analyzing and evaluating quality of the multi-step radar target recognition algorithm with the ability to meet reliability of decisions.

Abstract

The paper presents the issue of improving the efficiency of the radar target recognition by flexibly extending the observation time, giving results of evaluating the quality metrics of “the multi-step recognition algorithm with the ability to meet the reliability of decisions” in the case of recognizing radar targets on Gaussian noise. In the paper, we use the simulation method to determine the probability matrix of conditional true/false recognition and the statistical properties of the required number of observation cycles. The simulation results show that the multi-step algorithm improves the probability of true recognition and allows to meet the reliability of the decisions with the average number of required observation cycles significantly smaller than that in the case of using the conventional one-step algorithm.