- Tytuł:
- ZA-APA with Adaptive Zero Attractor Controller for Variable Sparsity Environment
- Autorzy:
-
Radhika, S.
Chandrasekar, A.
Nirmalraj, S. - Powiązania:
- https://bibliotekanauki.pl/articles/1844469.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
Zero Attraction APA
sparse channel
convergence
steady state mean square error
variable zero attraction controller - Opis:
- The zero attraction affine projection algorithm (ZA-APA) achieves better performance in terms of convergence rate and steady state error than standard APA when the system is sparse. It uses l1 norm penalty to exploit sparsity of the channel. The performance of ZA-APA depends on the value of zero attractor controller. Moreover a fixed attractor controller is not suitable for varying sparsity environment. This paper proposes an optimal adaptive zero attractor controller based on Mean Square Deviation (MSD) error to work in variable sparsity environment. Experiments were conducted to prove the suitability of the proposed algorithm for identification of unknown variable sparse system.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2020, 66, 4; 695-700
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł