Adaptive Noise Cancellation Technique in Signal Estimation using Particle Swarm Optimization

Noise is one of the most hindering factors in signal processing as they are random in nature, and it may obliterate the signal of interest. Noise may arise due to errors in the sensor as well as erroneous transmission channels. These errors are inherent in real-world applications and may cause errors in measuring quantity. In our proposed model, Particle Swarm Optimization PSO is used to optimize the adaptive filter coefficients of an Adaptive line enhancer (ALE) to remove the noise from the received signal. The proposed PSO based ALE is designed in MATLAB, and its performance is investigated for different scenarios.