Design of Finite Impulse Response Filter with Controlled Ripple Using Cuckoo Search Algorithm

In this paper, an efficient design of finite impulse response (FIR) filter is presented with improved fitness function using cuckoo search algorithm (CSA). CSA is recently proposed evolutionary technique (ET), which has efficient ability of exploration and therefore used in FIR filter design. The fitness function is constructed in the frequency domain as a mean squared error (MSE) between the designed and desired response. In this fitness function, tolerable limits for magnitude response in passband and stopband region have been embedded, which helps in gaining the controlled ripple in irrespective bands. The designed filters are realized on general-purpose microcontroller using Arduino platform and filter performance is tested using fidelity parameters, which are; passband error (Er-pb), stopband error (Er-sb), and minimum stopband attenuation (A(s)). The exhaustive experimental analysis confirms that proposed methodology is statically stable and obtains improved fidelity parameters when compared with previous state of the art.