Design Of FIR Low Pass Filter Using Particle Swarm Optimization Algorithm

Digital filter play a significant role in the field of digital signal processing. In this paper a linear phase low pass FIR filter has been analyzed by an approach optimal design method using of particle swarm optimization PSO algorithm. The FIR filter involves multi-parameter optimization. Different optimization techniques can be utilized to minimize the coefficients of FIR filter by minimization or maximization of fitness function. The concept of optimization is minimizing the maximum errors between desired and actual response. The main target behind the designing of this improved FIR filter is to approximate the ideal filters on the request of a given designing specifications. The inertia weight has been modified for the PSO to enhance its searching capability for obtain global optimum solution. In the process of designing a FIR low pass filter specification is realized using PSO algorithm generates a set of filter coefficients and tries to meet the ideal frequency characteristic feasible pass band and stop band frequencies are required. A comparison of simulation results reveals the optimization efficiency of the algorithm over the prevailing optimization technique for solution non-differential highly non-linear and contained FIR filter design problem. Simulation study supports that the proposed algorithm is accurate and has fast convergence speed.