Yayın: Recursive successive over-relaxation algorithm for adaptive filtering
Tarih
Kurum Yazarları
Hatun, Metin
Yazarlar
Koçal, Osman Hilmi
Danışman
Dil
Yayıncı:
IEEE
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Özet
A new recursive algorithm is introduced to adjust the parameters of an adaptive channel equalizer based on the use one cycle Successive Over-Relaxation (SOR) iteration between two consecutive data samples. The presented algorithm is called the Recursive Successive Over-Relaxation (RSOR) algorithm. In addition, a stochastic convergence analysis of the RSOR algorithm is performed and it is shown that the proposed algorithm is an unbiased parameter estimator for optimum Wiener solution of normal equation. The performance of the RSOR algorithm in terms of its convergence rate and computational complexity is examined using computer simulations and compared with the widely used adaptive algorithms. The computer simulations show that the proposed algorithm has a faster convergence rate than the gradient-based methods and a lower computational complexity than the Recursive Least Squares (RLS) algorithm.
Açıklama
Bu çalışma, 12-14 Ekim 2012 tarihleri arasında İstanbul[Türkiye]’da düzenlenen 5. Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA)’da bildiri olarak sunulmuştur.
Kaynak:
Anahtar Kelimeler:
Konusu
Engineering, Telecommunications, Transversal filters, Adaptive algorithms, Computational complexity, Computer simulation, Least squares approximations, Parameter estimation, Adaptive channel equalizer, Convergence analysis, Faster convergence, Gradient-based method, Parameter estimators, Recursive algorithms, Recursive least squares algorithms, Successive over relaxation, Iterative methods
Alıntı
Hatun, M. ve Koçal, O. H. (2012). "Recursive successive over-relaxation algorithm for adaptive filtering". 2012 Mosharaka International Conference on Communications, Computers and Applications(MIC-CCA), 90-95.