Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method

At present, in robot technology, remote control of robot is realized by wireless communication technology, and data anti-interference in wireless channel becomes a very important part. Any wireless communication system has an inherent multi-path propagation problem, which leads to the expansion of g...

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Vydáno v:Frontiers in neurorobotics Ročník 15; s. 699221
Hlavní autoři: Xu, Tongtong, Xiang, Zheng, Yang, Hua, Chen, Yun, Luo, Jun, Zhang, Yutao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Lausanne Frontiers Research Foundation 10.06.2021
Frontiers Media S.A
Témata:
Adaptation
Algorithms
Barzilai-Borwein method
blind equalization
Communications systems
decision-directed
Methods
modified constant modulus algorithm
Neuroscience
Optimization
Remote control
robot technology
ISSN:1662-5218, 1662-5218
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Shrnutí:At present, in robot technology, remote control of robot is realized by wireless communication technology, and data anti-interference in wireless channel becomes a very important part. Any wireless communication system has an inherent multi-path propagation problem, which leads to the expansion of generated symbols on a time scale, resulting in symbol overlap and Inter-symbol Interference (ISI). ISI in the signal must be removed and the signal restores to its original state at the time of transmission or becomes as close to it as possible. Blind equalization is a popular equalization method for recovering transmitted symbols of superimposed noise without any pilot signal. In this work, we propose a concurrent modified constant modulus algorithm (MCMA) and the decision-directed scheme (DDS) with the Barzilai-Borwein (BB) method for the purpose of blind equalization of wireless communications systems (WCS). The BB method, which is two-step gradient method, has been widely employed to solve multidimensional unconstrained optimization problems. Considering the similarity of equalization process and optimization process, the proposed algorithm combines existing blind equalization algorithm and Barzilai-Borwein method, and concurrently operates a MCMA equalizer and a DD equalizer. After that, it modifies the DD equalizer's step size (SS) by the BB method. Theoretical investigation was involved and it demonstrated rapid convergence and improved equalization performance of the proposed algorithm compared with the original one. Additionally, the simulation results were consistent with the proposed technique.
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Reviewed by: Fudong Li, Dalhousie University, Canada; Wei Li, Xi'an University of Technology, China; Zhaohui Yang, King's College London, United Kingdom
Edited by: Jingsha He, Beijing University of Technology, China
ISSN:1662-5218
1662-5218
DOI:10.3389/fnbot.2021.699221