Synthesis of algorithms for the detection and resolution of collision conflicts based on data from the automatic dependent surveillance system under uncertainty

Abstract

Algorithms for the detection of collision conflicts of aircraft are synthesized based on the statistical decision theory and the data obtained from an automatic dependent surveillance system. The algorithms are based on calculating the logarithmic likelihood ratio for the alternative hypotheses consisting of the unpredicted meeting of aircraft or the absence of a meeting. The meeting criterion is the fulfillment of conditions for the parallel approach of aircraft. Thresholds for decision making are chosen and the levels of false alarms are estimated. A stochastic algorithm for the guaranteed resolution of conflicts complying with comfortable or maximally acceptable load factors is developed.