Design of linear phase low pass FIR filter using restart particle swarm optimization

Finite Impulse Response Filters (FIR) is widely used in signal processing applications. Designing of a FIR filter which satisfies all the specified conditions is challenging task. In fact, design of FIR filter is a multimodal optimization problem. Digital Filter cannot be designed by traditional gradient methods as they are inefficient. Metaheuristic Optimization Algorithms are successfully used in solving multimodal optimization problem where the traditional gradient based methods fail. Particle Swarm Optimization (PSO) is a population based metaheuristic algorithm widely used for optimization problems. In this paper we have used an improved version of PSO called Restart PSO for design of linear phase low pass FIR filter.