Title :
Comparison between AEKF and EKF about homing UAV under passive guidance
Author :
Cao Jian ; Zhu Xiaoping
Author_Institution :
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Measuring the relative distance, relative speed and target acceleration under knowing only angular information is called a "passive track" problem to target. Because of the noise in measuring result, it is necessary to describe a "passive track" problem by nonlinear random system. The paper compares AEKF with EKF. According to certain hypotheses, we can get statistic results of estimation errors of EKF and AEKF separately by Monte-Carlo simulation. As a result, under the same conditions, real-time estimations with AEKF obviously exceed the ones with EKF during passive guidance of homing UAV.
Keywords :
Monte Carlo methods; acceleration control; acceleration measurement; adaptive Kalman filters; distance measurement; estimation theory; missile guidance; nonlinear control systems; nonlinear filters; remotely operated vehicles; target tracking; velocity control; velocity measurement; AEKF; Monte-Carlo simulation; angular information; estimation errors; homing UAV; nonlinear random system; passive guidance; passive track problem; real-time estimations; relative distance measurement; relative speed measurement; target acceleration measurement; Acceleration; Adaptation models; Adaptive filters; Estimation; Filtering algorithms; Missiles; Noise; AEKF; EKF; homing UAV; observation noise; passive guidance;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025975
