Unscented Transform and Its Application in ATC Tracking

Authors:	Shu Wenjie, National University of Defense Technology, China Zheng Zhiqiang, National University of Defense Technology, China
Topic:	1.1 Modelling, Identification & Signal Processing
Session:	State Estimation, Tracking and Sensor Fusion
Keywords:	Unscented Transform, Unscented Kalman Filter, Unscented ParticleFilter, Air Traffic Control

Abstract

Nonlinear filtering is certainly very important in estimationsince most real-world problems are nonlinear. In this paper, wedevote the effort to use the unscented transform (UT) to improveAir Traffic Control (ATC) tracking. The simulation results showthat the UT improved the tracking performance compared to thetraditional methods for the track-while-scan (TWS) ATC