JOURNAL ARTICLE

Ballistic Missile Tracking using Unscented Kalman Filter

Sang-Hyuk Park

Year: 2008 Journal:   Journal of Institute of Control Robotics and Systems Vol: 14 (9)Pages: 898-903

Abstract

In most cases, the trajectory of a ballistic missile is well explained by the Kepler's laws. It implies that the remaining trajectory of the ballistic missile including its final destination can be easily predicted if the position and velocity vector of the ballistic missile at any point on its path can be exactly known. Hence, an effective tracking algorithm based on an exact radar measurement model is very important for developing Ballistic Missile Defense(BMD) system. In this paper, we address to design a nonlinear filter, Unscented Kalman Filter(UKF), to track the ballistic missile.

Keywords:
Ballistic missile Missile Kalman filter Trajectory Missile guidance Control theory (sociology) Tracking (education) Extended Kalman filter Position (finance) Trajectory of a projectile Ballistics Aerospace engineering Computer science Engineering Physics Projectile Artificial intelligence

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2
Cited By
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FWCI (Field Weighted Citation Impact)
3
Refs
0.01
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering

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