Low-Complexity Non-Uniform Penalized Affine Projection Algorithm for Sparse System Identification |
| |
Authors: | Yingsong Li Chaozhu Zhang Shigang Wang |
| |
Affiliation: | 1.College of Information and Communications Engineering,Harbin Engineering University,Harbin,China;2.School of Mechanical and Electric Engineering,Heilongjiang University,Harbin,China |
| |
Abstract: | In this paper, an improved sparse-aware affine projection (AP) algorithm for sparse system identification is proposed and investigated. The proposed sparse AP algorithm is realized by integrating a non-uniform norm constraint into the cost function of the conventional AP algorithm, which can provide a zero attracting on the filter coefficients according to the value of each filter coefficient. Low complexity is obtained by using a linear function instead of the reweighting term in the modified AP algorithm to further improve the performance of the proposed sparse AP algorithm. The simulation results demonstrate that the proposed sparse AP algorithm outperforms the conventional AP and previously reported sparse-aware AP algorithms in terms of both convergence speed and steady-state error when the system is sparse. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|