Cruise Missile Target Trajectory Movement Prediction based on Optimal 3D Kalman Filter with Firefly Algorithm

TL;DR

This paper proposes a novel method combining an optimal 3D Kalman filter, LQR controller, and Firefly Algorithm to accurately predict and control cruise missile trajectories in MATLAB simulations.

Contribution

It introduces an integrated approach using Kalman filter, LQR, and Firefly Algorithm for precise missile trajectory prediction and path control.

Findings

Effective trajectory prediction in MATLAB simulations

Improved control accuracy with combined algorithms

Potential for enhanced missile guidance systems

Abstract

It is hoped that there will never be a war in the world, but one of the defensive requirements of any country during the war is the missiles used for destruction and defense. Todays, missiles movement from origin to destination is an important problem due to abundant application of missiles in wars. This is important because of the range of some missiles is low and other are very high. Parametric indeterminacy are several factors in missile movement prediction and trajectory such as speed, movement angle, accuracy, movement time, and situation and direct control. So this research trying to provide a method based on LQR controller with 3d Kalman filter and then set motion and specify path without deviations based on Firefly Algorithm. It is expected that the results of an appropriate evaluation can be obtained by simulating the MATLAB environment and graphic display of a cruise missile.