Journals Information
Universal Journal of Applied Mathematics Vol. 5(3), pp. 45 - 52
DOI: 10.13189/ujam.2017.050301
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Blind Channel Equalization by Adaptive Filter Algorithms
Said Elkassimi 1,*, Said Safi 1, B. Manaut 2
1 Department of Mathematics and Informatics, Polydisciplinary Faculty, Sultan Moulay Slimane University, Morocco
2 Department of Physics, Polydisciplinary Faculty, Sultan Moulay Slimane University, Morocco
ABSTRACT
This paper proposes an algorithm based on ZF and MMSE methods for blind channel equalization, which is compared with adaptive filter algorithms which are Constant Modulus Algorithm (CMA), Fractional Space CMA (FSCMA) and Sign Kurtosis Maximization Adaptive Algorithm (SKMAA). The simulations show that the proposed algorithm gives satisfied result versus CMA, FSCMA and SKMAA algorithms. The study is done under certain conditions, it is implemented in noisy environment, for different number of symbols and different SNR values with QPSK modulation. Equalization of channel is more performing if we use the proposed algorithms.
KEYWORDS
Blind Equalization, CMA, FSCMA, SKMAA, ZF, MMSE, SER
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Said Elkassimi , Said Safi , B. Manaut , "Blind Channel Equalization by Adaptive Filter Algorithms," Universal Journal of Applied Mathematics, Vol. 5, No. 3, pp. 45 - 52, 2017. DOI: 10.13189/ujam.2017.050301.
(b). APA Format:
Said Elkassimi , Said Safi , B. Manaut (2017). Blind Channel Equalization by Adaptive Filter Algorithms. Universal Journal of Applied Mathematics, 5(3), 45 - 52. DOI: 10.13189/ujam.2017.050301.