Indian Journal of Science and Technology

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Cannon Fired Ball with Relative Velocity


Affiliations
1 Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam – 530046, Andhra Pradesh, India
2 Department of ECE, K L University, Vaddeswaram – 522502, Guntur District, Andhra Pradesh, India
 

Radar is assumed to be tracking a cannon launched projectile travelling in a 2 dimensional drag environment. Extended Kalman Filter (EKF) is explored for the estimation of position and velocity of the projectile. Simulation is carried out using MATLAB and the results are presented. Finally, based on the results, EKF is recommended for tracking the projectile.

Keywords

Ballistics, Estimation, Extended Kalman Filter, Prediction, Relative velocity
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  • Cannon Fired Ball with Relative Velocity

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Authors

Kausar Jahan
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam – 530046, Andhra Pradesh, India
S. Koteswara Rao
Department of ECE, K L University, Vaddeswaram – 522502, Guntur District, Andhra Pradesh, India
Rudra Pratap Das
Department of ECE, Vignan’s Institute of Information Technology, Visakhapatnam – 530046, Andhra Pradesh, India

Abstract


Radar is assumed to be tracking a cannon launched projectile travelling in a 2 dimensional drag environment. Extended Kalman Filter (EKF) is explored for the estimation of position and velocity of the projectile. Simulation is carried out using MATLAB and the results are presented. Finally, based on the results, EKF is recommended for tracking the projectile.

Keywords


Ballistics, Estimation, Extended Kalman Filter, Prediction, Relative velocity



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i29%2F121900