| Autor: |
Tao Zhang, Hai-Quan Jiao, Zhi-Chun Lei |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 5, Pp 4939-4946 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2017.2682918 |
| Popis: |
The individual-activation-factor memory proportionate affine projection algorithm (IAF-MPAPA) provides a good solution for echo cancelation. However, the IAF-MPAPA with fixed regularization factor requires a tradeoff between fast convergence rate and low steady-state misalignment. In this paper, the mathematical relationship between the regularization factor and the steady-state mean square error (MSE) of the IAF-MPAPA was deduced. The mathematical formula of the steady-state MSE indicates that it is inversely proportional to the value of regularization factor. Then, inspirited by the evolutionary method, the IAF-MPAPA with evolving regularization (ERIAF-MPAPA) was proposed. The ERIAF-MPAPA increases or decreases the regularization factor by comparing the power of output error with a threshold which contains the information of the steady-state MSE. For highly sparse impulse responses, simulation results demonstrate that the proposed ERIAF-MPAPA offers better convergence performance than other proportionate-type APAs in terms of convergence rate and steady-state misalignment. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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