Absolute Mean Error Based Adaptive Step Size Affine Projection Algorithm for Adaptive Filtering Systems

This paper presents a new method for adaptive step size for Affine Projection Algorithm (APA). The proposed algorithm is based on an absolute mean of estimation current and prior error vector. It is called Absolute Mean Error Adaptive Step Size Affine Projection Algorithm (AMASSAPA). The main goal of this algorithm is performance enhancement of adaptive colored filtering system in terms of fast convergence time. The proposed adaptive step size method begins the learning process with high learning rate value ( μ MAX ) and then , it decays in an exponential profile to its minimum value (μMIN ) .The proposed algorithm is tested with a colored input signal and the result shows that it has fast convergence time than traditional APA.