Comparison of Adaptive Filtering Algorithms in Noise Cancellation Application:A Simulation Study

The theory of noise canceling and the method for abstracting the desired signal from strong background noise were described by using adaptive filtering and the LMS algorithms、NLMS algorithms and RLS algorithms were compared.The results of computer simulation show that all of these adaptive algorithms can improve the detection of weak signal in strong background noise.In comparison,the RLS algorithm performance is much better than LMS algorithm and NLMS algorithm.Besides,the convergence speed is much faster and the behavior of the RLS filter coefficients is much more stable,and it has faster beginning convergence rate,lower misadjustment noise,and better robustness against noise and disturbance.