Adaptive DFE control with differential LMS algorithm

被引:0
|
作者
Hoshino, M [1 ]
Ohgane, T [1 ]
Ogawa, Y [1 ]
机构
[1] Hokkaido Univ, Sapporo, Hokkaido 0608628, Japan
关键词
adaptive algorithm; equalization; selectivity fading; diversity;
D O I
10.1002/1520-6424(200101)84:1<99::AID-ECJA12>3.0.CO;2-K
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 order to implement high-speed, high-quality land-mobile digital communications, it is necessary to simultaneously satisfy both the trackability of the frequency-selectivity fading and the simplification of the algorithm. In this study, we propose the use of the differential LMS algorithm, which is applied to the decision feedback equalizer (DFE) as the adaptive algorithm. It can be expected that the introduction of the differential algorithm will make it possible to upgrade the tracking of propagation channels that can be approximated by the simplified Markov process. By using this algorithm, we designed an LMS-DFE having a simple configuration, and evaluation of the propagation characteristics by computer simulation has shown that, compared to the conventional LMS-DFE, it has better robustness to fluctuations and makes it possible to reduce the error floor by half. In addition, we also examined a diversity combined DFE and obtained similar results. (C) 2000 Scripta Technica, Electron Comm Jpn Pt 1, 84(1): 99-108, 2001.
引用
收藏
页码:99 / 108
页数:10
相关论文
共 50 条
  • [41] Realization of adaptive LMS algorithm based on FPGA
    Chen, MK
    Chen, ZZ
    Ke, HY
    Yang, ZJ
    ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 3, 2005, : 630 - 633
  • [42] LMS adaptive filter algorithm with transient step
    Dianzi Keji Diaxue Xuebao, 6 (579-582):
  • [43] A novel convergence accelerator for the LMS adaptive algorithm
    Sheu, Jeng-Shin
    Lain, Jenn-Kaie
    Woo, Tai-Kuo
    Wen, Jyh-Horng
    World Academy of Science, Engineering and Technology, 2010, 65 : 492 - 496
  • [44] Performance analysis of adaptive DFE using set-membership binormalized data-reusing LMS algorithm for frequency selective MIMO channels
    Mishra, Ramesh Chandra
    Bhattacharjee, Ratnajit
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2017, 77 : 91 - 99
  • [45] A New Variable Step Size Control Method for the Transform Domain LMS Adaptive Algorithm
    K. Mayyas
    Circuits, Systems and Signal Processing, 2005, 24 : 703 - 721
  • [46] Adaptive Equalization Algorithm in Symbolic Level Based on LMS Algorithm
    Yang J.
    Tu H.
    Wang Y.-X.
    2017, Beijing Institute of Technology (37): : 753 - 757
  • [47] Development of adaptive IIR filtered-e LMS algorithm for active noise control
    SUN Xu MENG Guang TENG Pengxiao CHEN Duanshi(1 State Key Lab. of Vibration
    ChineseJournalofAcoustics, 2003, (03) : 252 - 260
  • [48] Adaptive inverse control of random vibration based on the filtered-X LMS algorithm
    Zhidong Yang
    Qitao Huang
    Junwei Han
    Hongren Li
    Earthquake Engineering and Engineering Vibration, 2010, 9 : 141 - 146
  • [49] Adaptive inverse control of random vibration based on the filtered-X LMS algorithm
    Yang Zhidong
    ~++ PhD ~§Professor
    EarthquakeEngineeringandEngineeringVibration, 2010, 9 (01) : 141 - 146
  • [50] Fast and precise scanning and tracking control of space beam based on adaptive LMS algorithm
    Xiong Zijun
    Liu Lei
    Yang Hongjie
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2021, 41 (05) : 95 - 102