Bonfring International Journal of Research in Communication Engineering
Online ISSN: 2277-5080 | Print ISSN: 2250-110X | Frequency: 4 Issues/Year
Impact Factor: 0.528 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
Performance Comparison of Adaptive and Blind Equalization Algorithms for Wireless Communication
Abstract:
Adaptive equalization is a well known method to minimize the Inter-Symbol Interference (ISI) in wireless communication. Often, adaptive algorithm requires transmission of known training sequence to track the time varying characteristics of the channel disfraces cosplay baratos and hence utilizes additional bandwidth. It is also impractical to have training sequences in all types of transmissions (e.g. non-cooperative environment). Blind algorithm is a concept to track the time varying characteristics of the channel in the absence of training sequence. However, it leads to slow convergence. In this paper, we compare the performance of adaptive LMS algorithm and SATO based blind algorithm for PAM signal.
Keywords: Adaptive Equalization, Blind Equalization, Convergence, LMS algorithm, SATO Algorithm
Volume: 3 | Issue: 1
Pages: 01-06
Issue Date: March , 2013
DOI: 10.9756/BIJRCE.10063
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