Interference Cancellation in Adaptive Filtering through LMS Algorithm using TMS320C6713DSK

The scope of this paper is interference cancellation which is concerned with removal of noise superposed on speech signal. Interference cancelling makes use of an auxiliary or reference input derived from one or more sensor located in noise field where the signal is undetectable. This input is filtered from primary input containing both signal and interference. Adaptive filtering which are able to lockin on the frequency of interference and to tracks its changes is required. In order to achieve this, a reference signal should be available which is strongly correlated with the interference only. To this purpose LMS algorithm implementation is considered. Simulation When the desired signal is sine_sound.wav: Figure 1: Simulink Model-1 114 Prabira Kumar Sethy and Dr. Subrata Bhattacharya At first I generate “sine_sound” using following MATLAB instruction. n=0:4999; s=10*sin(0.4*pi*n); sound(s,10000); Now this sound is stored in MATLAB workspace. Here the “sine_sound.wav” is the desired signal corrupted by the noise ie; uniform random number. The corrupted signal is fed to the desired input of LMS. Another reference noise ie; uniform random number is fed to the input of LMS. At the error output of LMS the “sine_sound.wav” present which is not contaminated by noise.