Performance Evaluation of Different Averaging based Filter Designs Using Digital Signal Processor and its Synthesis on FPGA

Noise has been a primary deterrent in signal transmission which results in faulty information after signal processing, reducing their usability. It is important that signals should be free from unwanted, random variations so that the errors caused due to faulty representation of the original signal can be minimized. Digital filter describes a linear time invariant system used to perform spectral shaping or frequency selective filtering. Design of digital filter using averaging technique is a simple type of FIR filter without assigning any value of cut off frequency. In our work, Simple Moving Average (SMA) and Exponentially Weighted Moving Average (EWMA) based signal filtering techniques are applied on corrupted signal, having different signal to noise ratio (SNR, to filter out noise from a discretely sampled signal. Performance evaluation of these techniques has been carried out using DSP Starter Kit (DSK) having processor TMS320C6713 with Code Composer Studio and is verified through simulation using MATLAB. The algorithm of EWMA technique is synthesized on FPGA platform to estimate resource utilization and timing constraints. The motivation for this research work was derived from the quest to develop a FPGA based simple filtering technique as compared to the conventional FIR filters to reduce design cycle of the system.