Optimal Design of Finite Impulse Response Digital Filters through Ant Colony Algorithm

Aiming at the need of high-precision digital filter design, a method to improve the design of finite impulse response digital filters with an ant colony algorithm is proposed. The design result of the window function method is further optimized using the ant colony algorithm, and the optimization objective function and implementation steps are designed. The ant colony algorithm and Chebyshev approximation are used to optimize the filter coefficients, and the optimization goals and implementation steps are given. Using software for simulation design, the experimental results show that the filters obtained by the two design methods can meet the design requirements, and the error with the ideal filter is small.