Multiple aircrafts tracking in clutter for multilateration air traffic surveillance system

Nowadays, many researchers pay much attention to aircraft tracking process of air traffic surveillance systems. Multilateration air traffic surveillance system is considered one of the hot spot areas for researchers. In this paper a Non-Bayesian single (multiple) aircrafts tracking algorithm is proposed taking into account the existence of clutter. The proposed algorithm deals with the geographic coordinates (latitude and longitude). First, a proposed single aircraft tracking algorithm in clutter is discussed. It is based on Kalman filter with a modification in the predicted state. The proposed predicted state is presented which will be a function of the state in the last three iterations. Followed by a proposed validation gate and data association analysis. The used Validation gate threshold will be variant not constant. Then a proposed multi-aircrafts tracking in clutter model is analyzed. Finally, a Multilateration network at Cairo International Airport is considered a pilot area to simulate both scenarios.