An Experimental Investigation of FPGA-Based LMS Algorithm for Adaptive Noise Cancellation

摘要

Desirable along with undesirable information are carried through signals. Adaptive noise elimination is a substitute method for estimating signals spoiled through additive interferences and noise. This process necessitates two inputs such as primary input comprising polluted signal and reference input comprising desired signal. The primary input is filtered adaptively and deducted from the desired signal to attain error signal, and the adaptive algorithm performs in closed loop manner to reduce the error signal. The adaptive noise cancellation has been designed via two methodologies. One is model-centered methodology while another is FPGA-based methodology. In case of model-centered methodology, MATLAB/Simulink is employed, and the simulation results are observed through virtual oscilloscope. In FPGA-based methodology, Quartus Ⅱ IDE tool of Altera is utilized for hardware implementation on Altera DE2 development board.