• Recursive Inverse Adaptive Fil...

Treffer: Recursive Inverse Adaptive Filtering for Fading Communication Channels

Title:
Recursive Inverse Adaptive Filtering for Fading Communication Channels
Authors:
Jaar, Faris Yousef Shokri
Contributors:
Hocanın, Aykut
Publisher Information:
Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)
Publication Year:
2019
Collection:
Eastern Mediterranean University Institutional Repository (EMU I-REP), Famagusta
Subject Terms:
Electrical and Electronic Engineering, Adaptive signal processing, Signal processing--Statistical methods, Adaptive filters, Adaptive filter, recursive inverse, RLS, communication channel
Document Type:
Dissertation master thesis
Language:
English
Relation:
Jaar, Faris Yousef Shokri. (2019). Recursive Inverse Adaptive Filtering for Fading Communication Channels. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Electrical and Electronic Engineering, Famagusta: North Cyprus.; http://hdl.handle.net/11129/5060
Availability:
http://hdl.handle.net/11129/5060
Rights:
info:eu-repo/semantics/openAccess
Accession Number:
edsbas.64C4EA03
Database:
BASE

Weitere Informationen

Adaptive filtering is an important and rapidly developing discipline in the signal processing and communications field. Many different algorithms were developed throughout the years. LMS and RLS being the most well-known and studied of the algorithms. Like in many disciplines in engineering there exists many disadvantages in these algorithms and so variations were proposed. The main parameters sought after in a new algorithm were convergence speed, stability, and computational complexity. LMS suffers in the former as it has generally low convergence speed. Meanwhile, RLS main disadvantage is the computational complexity it introduces, in addition to being unstable in varying channel settings. RI adaptive filtering algorithm proposed in 2009 provides some solutions to the aforementioned issues. In this thesis, the use of the RI algorithm in common communication channel setting is simulated. The performance of the algorithm is studied and compared to some other adaptive filtering algorithms in terms of BER. Both channel estimation and channel equalization performances are investigated and commented upon. The conclusions reached will be that RI outperforms RLS in terms of convergence speed and computational complexity in all cases studied while giving similar results to NLMS in frequency selective channels but outperforming it in flat fading channels. Keywords: Adaptive filter, recursive inverse, RLS, communication channel ; ÖZ: Uyumlu filtreleme sinyal işleme ve iletişim alanının önemli ve gelişmekte olan bir disiplinidir. Alanın gelişme sürecinde farklı uyumlu filtre algoritmaları geliştirilmiştir. Least Mean Squares (LMS) ve Recursive Least Squares (RLS) algoritmaları en fazla bilinen ve başarımı araştırılan algoritmaların başında gelmektedir. Geliştirilen algoritmaların olumlu ve olumsuz yönleri bulunmakta ve araştırmacılar uygulamaya özge farklı geliştirmeler önermektedirler. Bu kapsamda en önemli başarım parametreleri yakınsama hızı, kararlılık ve hesaplama karmaşıklığıdır. LMS genel olarak düşük yakınsama ...