ITM Web Conf.
Volume 27, 2019The 9th International Conference on Digital Information and Communication Technology and its Applications (DICTAP2019)
|Number of page(s)||6|
|Published online||10 May 2019|
Blind Channel Equalization of Star QAM using Dual Dispersion MCMA Algorithm
DEE, CE&ME, National University of Sciences and Technology (NUST), 44000, Islamabad, Pakistan
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An algorithm for blind channel equalization is presented for 16 and 32 Star QAM, namely, Dual Dispersion MCMA algorithm. The algorithm taking the concept from MCMA, uses the Dual Dispersion minimization approach for blind channel equalization. As Star QAM constellation contains two rings, so instead of one, dual dispersion minimization approach is used for its both rings. With modification in MCMA cost function, the new algorithm results improved performance in convergence rate of Residual ISI and MSE against MCMA algorithm. By incorporating decision directed approach, the performance increases drastically. Simulation results show effectiveness of proposed algorithm in removing the ISI and correcting the errors in symbols of received signal.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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