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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2021-06-01
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doaj-51fa7c910a0c45ae879e4908c83ac0f22021-06-10T07:56:39ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182021-06-011510.3389/fnbot.2021.699221699221Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein MethodTongtong Xu0Zheng Xiang1Hua Yang2Yun Chen3Jun Luo4Yutao Zhang5Department of Telecommunication Engineering, Xidian University, Xi'an, ChinaDepartment of Telecommunication Engineering, Xidian University, Xi'an, ChinaGuangdong Shenglu Telecommunication Tech. Co., Ltd, Foshan, ChinaGuangdong Shenglu Telecommunication Tech. Co., Ltd, Foshan, ChinaGuangdong Shenglu Telecommunication Tech. Co., Ltd, Foshan, ChinaGuangdong Shenglu Telecommunication Tech. Co., Ltd, Foshan, ChinaAt 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.https://www.frontiersin.org/articles/10.3389/fnbot.2021.699221/fullrobot technologyBarzilai-Borwein methoddecision-directedblind equalizationmodified constant modulus algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tongtong Xu Zheng Xiang Hua Yang Yun Chen Jun Luo Yutao Zhang |
spellingShingle |
Tongtong Xu Zheng Xiang Hua Yang Yun Chen Jun Luo Yutao Zhang Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method Frontiers in Neurorobotics robot technology Barzilai-Borwein method decision-directed blind equalization modified constant modulus algorithm |
author_facet |
Tongtong Xu Zheng Xiang Hua Yang Yun Chen Jun Luo Yutao Zhang |
author_sort |
Tongtong Xu |
title |
Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method |
title_short |
Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method |
title_full |
Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method |
title_fullStr |
Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method |
title_full_unstemmed |
Concurrent Modified Constant Modulus Algorithm and Decision Directed Scheme With Barzilai-Borwein Method |
title_sort |
concurrent modified constant modulus algorithm and decision directed scheme with barzilai-borwein method |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurorobotics |
issn |
1662-5218 |
publishDate |
2021-06-01 |
description |
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. |
topic |
robot technology Barzilai-Borwein method decision-directed blind equalization modified constant modulus algorithm |
url |
https://www.frontiersin.org/articles/10.3389/fnbot.2021.699221/full |
work_keys_str_mv |
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1721385348830855168 |