With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.

The extended Lagrangian method is used for restraining the optimization technique and Newton iterative method for solving the mathematical model.

The method of choosing the thresholds is improved using the iterative optimization method.