Noise Cancellation by Linear Adaptive Filter based on efficient RLS Lattice Algorithm

This RLS Lattice algorithm is developed by using vector space treatment with the introduction of the Forgetting Factor such that it offers fast convergence and good error performance in the presence of noise. A linear Adaptive filter using this algorithm is developed which is having advantage that we can directly add the next stage to the existing filter without changing the previous filter coefficients to obtain the higher order filter. An audio signal with Gauss white noise is simulated in noise cancellation system on the MATLAB platform. This algorithm has very less computational complexity since it does not include any inverse matrix calculation and is highly efficient. The experimental results demonstrate the importance of using the newly updated iterations for the sensitivity of the noise estimation algorithm performance by using the forgetting factor in the algorithm.