Three Dimensional Estimation and Tracking Algorithm for Aeronautical surveillance

Abstract

Primary and secondary surveillance radar together with data fusion technologies require an optimum
estimation algorithm and depends primarily on air traffic service provider (ATS) systems. This paper
illustrates kalman filter algorithm in three dimension taking into consideration increased reliability,
integrity and accuracy in real time. Complementary characteristics of multilateral and automatic
dependent surveillance-broadcast (ADB-S) systems improve the efficiency of air traffic control
system under both surface and airspace environments.