A new algorithm was developed to track ballistic targets more accurately during re-entry. By using finite differences instead of complex calculations, the algorithm improved tracking accuracy by 20% compared to traditional methods. It also reduced computational complexity by 39%, making it more efficient overall. Monte Carlo simulations confirmed these improvements, showing that the new algorithm strikes a good balance between accuracy and computational cost.