Robust Sign-LMS Based Adaptive Noise Cancellation for Wireless Systems Under Rician Fading and Impulsive Noise

In wireless communication systems, non-Gaussian impulsive noise and multipath fading frequently affect signal quality. This study analyses the performance of an adaptive noise cancellation (ANC) system in Rician fading channels by applying the Sign-LMS algorithm. To enhance robustness against impulsive noise, which negatively impacts conventional Least Mean Squares (LMS)-based ANC, the Sign-LMS is utilized. MATLAB is used to simulate the suggested approach, and output Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER) are used to evaluate the performance. The results confirm that Sign-LMS significantly have lowers BER and made convergence more stable in situations with impulsive noise.