Unified-Affine-Projection-Like Subband-Adaptive Filtering Algorithm for Channel Estimation Under Impulsive Noise Environments

The unified-affine-projection-like subbands adaptive filter (UAPLSAF) algorithm is proposed, which makes use of the structure of a multiband adaptive filter and affine projection algorithm, and is robust against for reducing the affects on the outliuers consed by these unexpected impulsive-noises (INs). By changing the suitable parameters in the cost function, we can get different excellent affine projection (AP)-like algorithms. All of these algorithms have outstanding performance under INs. Besides, the created UAPLSAF presents better behaviors if we use convergence rate as an criterion and compare it with the former subband adaptive-filters like IMSAF and APSSAF with a worse noise environments like INs. Simulations have verified the effectiveness of the UAPLSAF algorithm.