Title :
A Randomized Approach for Mid-range Aircraft Conflict Detection Based on the Unscented Particle Filter
Author :
Zeng, Yan ; Zhou, Jie ; Wu, Yaoguo
Author_Institution :
Comput. Sci. Coll., Civil Aviation Flight Univ. of China, Guanghan
Abstract :
Based on the unscented particle filter, we propose a randomized approach to estimate the detection probability in the dynamic detection system. Considering the radar observations, we present a more accurate and real probabilistic model than that proposed by Pradini et al. for the mid-range aircraft conflict detection, and a detection algorithm based on the presented randomized approach. Monte Carlo simulations indicate that the presented model and associated algorithm are efficient
Keywords :
Kalman filters; Monte Carlo methods; air traffic control; nonlinear dynamical systems; object detection; particle filtering (numerical methods); probability; Monte Carlo simulation; detection probability; dynamic detection system; midrange aircraft conflict detection; radar observation; randomized approach; unscented particle filter; Air traffic control; Airborne radar; Aircraft manufacture; Aircraft navigation; Detection algorithms; Educational institutions; Particle filters; Radar detection; Radar tracking; Traffic control;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295343