Abstract
To further improve the performance of blind equalization based on T/4 fractionally spaced decision feedback equalizer, RLS algorithm is adopted to update the weights of equalizer according to simplified constant modulus algorithm (CMA) cost function. CMA cost function is simplified to meet second norm form in this work, and then the forward filter of equalizer with T/4 fractionally-spaced updates by RLS algorithm and the feedback filter of equalizer with symbol-spaced updates by gradient descent algorithm. Computer simulation results show that the algorithm proposed in this work has faster convergence rate and lower mean square error compare with blind equalization based on symbol-spaced and T/4 fractionally-spaced decision feedback equalizer based on gradient descend algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2156 Full Text: PDF
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: TELKOMNIKA Indonesian Journal of Electrical Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
