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

fYear

2011

fDate

19-22 Aug. 2011

Firstpage

2395

Lastpage

2398

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Conference_Location

Jilin

Print_ISBN

978-1-61284-719-1

Type

conf

DOI

10.1109/MEC.2011.6025975

Filename

6025975