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

Authors

  • S. Radhika SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,CHENNAI,INDIA
  • A. Chandrasekar St.Joseph's College of Engineering,Chennai,India
  • S. Nirmalraj sathyabama institute of science and technology,chennai,india

Abstract

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.

References

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Published

2024-04-19

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Section

Signals, Circuits, Systems