A real-time approach to array control based on a learned genetic algorithm

被引:7
|
作者
Caorsi, S
Donelli, M
Lommi, A
Massa, A
机构
[1] Univ Pavia, Dept Elect, I-27100 Pavia, Italy
[2] Univ Trent, Dept Informat & Commun Technol, I-38050 Trent, Italy
关键词
adaptive antenna arrays; genetic algorithms;
D O I
10.1002/mop.10731
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the framework, of wireless communications, it is mandatory to guarantee the reliability of the receiver by assuring good quality the end-user, in order to successfully decode transmitted signals. To this end, a method for the design of adaptive antenna arrays is described in this paper. The proposed procedure, based on a customized genetic algorithm, allows real-time control of the receiver's performance by acting on the discretized phase coefficients of the array elements. As a result, at the receiver, multiple and alternating interferences are considerably reduced with respect to the desired signal. In order to validate the proposed strategy, selected numerical results, concerning various environment conditions, are presented and deeply discussed. (C) 2003 Wiley Periodicals, Inc.
引用
收藏
页码:235 / 238
页数:4
相关论文
共 50 条
  • [1] Real-time Detection of Electrocardiograph Peaks: A Genetic Algorithm based Approach
    Jain, Shweta
    Kumar, Anil
    Bajaj, Varun
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2017, : 262 - 266
  • [2] Acyclic Real-Time Traffic Signal Control Based on a Genetic Algorithm
    Yang, Hairong
    Luo, Dayong
    [J]. CYBERNETICS AND INFORMATION TECHNOLOGIES, 2013, 13 (03) : 111 - 123
  • [3] Real-time multicast routing algorithm based on the genetic algorithm
    Liu, Ying
    Liu, Sanyang
    [J]. 2000, Sci Publ House (27):
  • [4] Real-time multicast routing algorithm based on the genetic algorithm
    Liu, Ying
    Liu, Sanyang
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2000, 27 (02): : 215 - 218
  • [5] Impedance control of grinding robot based on real-time optimization genetic algorithm
    Liu Z.
    Zou T.
    Sun W.
    Lu Y.-S.
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2018, 35 (12): : 1788 - 1795
  • [6] Real-Time Impedance Control Based on Learned Inverse Dynamics
    Muhammad Tufail
    Shahzad Anwar
    Zubair Ahmad Khan
    Muhammad Tahir Khan
    [J]. Arabian Journal for Science and Engineering, 2020, 45 : 5043 - 5055
  • [7] Real-Time Impedance Control Based on Learned Inverse Dynamics
    Tufail, Muhammad
    Anwar, Shahzad
    Khan, Zubair Ahmad
    Khan, Muhammad Tahir
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (07) : 5043 - 5055
  • [8] Application of the genetic algorithm to real-time active noise control
    Tang, KS
    Man, KF
    Kwong, S
    Chan, CY
    Chu, CY
    [J]. REAL-TIME SYSTEMS, 1996, 11 (03) : 289 - 302
  • [9] A Genetic Algorithm Based Approach for Event Synchronization Analysis in Real-time Embedded Systems
    Chen, Yan
    Lee, Yann-Hang
    Xu, Xiaofeng
    Wong, W. Eric
    Guo, Donghui
    [J]. 2009 INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS, PROCEEDINGS, 2009, : 201 - +
  • [10] Energy efficient real-time DVS based on genetic algorithm
    Xun, Jin Jian
    Huayong, Wang
    Nian, Wun
    Dexin, Wu
    JianFen, Wang
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS, 2008, : 98 - +