JOURNAL ARTICLE

The Close Ballistic Target Tracking Based on Extended Kalman Filter

Lu HanShao Hui CuiSheng MiaoHan Wen

Year: 2013 Journal:   Applied Mechanics and Materials Vol: 347-350 Pages: 3639-3643   Publisher: Trans Tech Publications

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.

Keywords:
Extended Kalman filter Kalman filter Tracking (education) Control theory (sociology) Invariant extended Kalman filter Fast Kalman filter Tracking error Computer science Alpha beta filter Ensemble Kalman filter Filter (signal processing) Moving horizon estimation Computer vision Artificial intelligence

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Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
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