Efficient Hardware Implementation of LMS Adaptive Filter on FPGA

Adaptive filters are one of the most important building blocks of digital signal processing (DSP) systems which are used in a wide variety of applications such as echo and noise cancellation, channel equalizers, radar and sonar systems. Compared to software implementation, hardware implementation of DSP systems has some inherent advantages including higher speed and throughput, integratability and parallel processing. In recent years, Field Programmable Gate Arrays (FPGAs) have received a lot of attention due to their architecture flexibility, low cost and providing the possibility of parallel processing of DSP algorithms. Efficient realization of adaptive filters on FPGAs has always been a motivational and challenging research topic. In this article, we have presented an efficient hardware implementation of a 9tap LMS adaptive filter that is much faster and consumes fewer resources compared to similar published works. The results have been verified by comparing those obtained from hardware implementation of an LMS adaptive noise canceller filter with the results obtained from simulation of a similar filter. Since the permanent collection and processing of meaningful signals are of the fundamentals of management cycle and crisis prevention, the presented design can be well used in hardware equipment related to this area.