ZA-APA with Adaptive Zero Attractor Controller for Variable Sparsity Environment

• Autorzy: Radhika S. , Chandrasekar A. , Nirmalraj S.

Identyfikatory

DOI

10.24425/ijet.2020.134029

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Zero Attraction APA; sparse channel; convergence; steady state mean square error; variable zero attraction controller

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2020
• Tom: Vol. 66, No. 4
• Strony: 695--700
• Opis fizyczny: Bibliogr. 17 poz., wykr.

Twórcy

autor

Radhika S.

• Sathyabama Institute of Science and Technology, Chennai, India

autor

Chandrasekar A.

• St. Joseph’s College of Engineering, Chennai, India

autor

Nirmalraj S.

• Sathyabama Institute of Science and Technology, Chennai, India

Bibliografia

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