The Close Ballistic Target Tracking Based on Extended Kalman Filter

Author:

Han Lu Jie1,Cui Shao Hui1,Miao Sheng Bing2,Han Wen Qing3

Affiliation:

1. Ordnance Engineering College

2. Unit 66036

3. Unit 66010

Abstract

A moving model of close target in a certain velocity is established aiming at the characteristic of low maneuverability. The Extended kalman filter (EKF) is used to reduce the error in location tracking. From the simulation result, it can be concluded that the moving model can describe the moving characteristic of close ballistic target perfectly. The Extended kalman filter can reduce the error in tracking location clearly.

Publisher

Trans Tech Publications, Ltd.

Reference12 articles.

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3. Zhang Kai, Shan Gan-lin, Ji Bing, Chen Hai. Maneuvering Targets Tracking Based on Pose-Aided Nonlinear Filter Algorithm [J]. ACTA ELECTRONICA SINICA, 2012, 40(8): 1670-1675.

4. Qian Hua-ming, Chen Liang, Yang Junwei. Adaptive algorithm of nonlinear target tracking based on AR model [J]. J. Huazhong Univ. of Sci. & Tech. (Natural Science Edition), 2012, 40, (9): 52-56.

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