IMPROVING DESIGN FEEDBACK EQUALIZER PERFORMANCE USING NEURAL NETWORKS

被引:7
|
作者
RAIVIO, K [1 ]
SIMULA, O [1 ]
HENRIKSSON, J [1 ]
机构
[1] NOKIA RES CTR,TRANSMISS SYST,SF-02101 ESPOO,FINLAND
关键词
NEURAL NETWORKS; EQUALIZERS;
D O I
10.1049/el:19911332
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
Novel equaliser structures combining traditional transversal equalisers and neural computation have been introduced for adaptive discrete-signal detection. Extensive simulations using a two-path channel model and 16QAM modulation have been run to investigate the performance characteristics of these neural equalisers. The results have shown that they adapt very well to changing channel conditions, including both linear multipath and nonlinear distortions. The new structures are superior when compared to the traditional equalisers with equal computational complexity, especially in difficult channels.
引用
收藏
页码:2151 / 2152
页数:2
相关论文
共 50 条
  • [21] Convolution Using Discrete Cosine Transforms for Improving Performance of Convolutional Neural Networks
    Ito, Izumi
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1462 - 1466
  • [22] Improving the performance of MPEG compatible encoders using on line retrainable neural networks
    Kollias, S
    Doulamis, N
    Doulamis, A
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL III, 1997, : 424 - 427
  • [23] Improving the Performance of Deep Neural Networks Using Two Proposed Activation Functions
    Alkhouly, Asmaa A.
    Mohammed, Ammar
    Hefny, Hesham A.
    IEEE ACCESS, 2021, 9 : 82249 - 82271
  • [24] Improving performance of convolutional neural networks using adaptive morlet wavelet filters
    Rezazadeh, Nader
    Mirzarezaee, Mitra
    Sharifi, Arash
    Manthouri, Mohammad
    PROGRESS IN ARTIFICIAL INTELLIGENCE, 2025, 14 (01) : 75 - 100
  • [25] Improving the generalization performance of RBF neural networks using a linear regression technique
    Lin, C. L.
    Wang, J. F.
    Chen, C. Y.
    Chen, C. W.
    Yen, C. W.
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (10) : 12049 - 12053
  • [26] Improving VG-RAM neural networks performance using knowledge correlation
    Carneiro, Raphael V.
    Dias, Stiven S.
    Fardin, Dijalma, Jr.
    Oliveira, Hallysson
    Garcez, Artur S. d'Avila
    De Souza, Alberto F.
    NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS, 2006, 4232 : 427 - 436
  • [27] Optimal design for decision-feedback equalizer
    Nan, L
    Leyman, AR
    Cheok, AD
    2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 447 - 450
  • [28] An adaptive decision feedback equalizer using error feedback
    Kim, DW
    Han, SH
    Eun, MS
    Choi, JS
    ICCE - INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 1996 DIGEST OF TECHNICAL PAPERS, 1996, : 146 - 147
  • [29] An adaptive decision feedback equalizer using error feedback
    Kim, DW
    Han, SH
    Fun, MS
    Choi, JS
    Cho, YS
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 1996, 42 (03) : 468 - 477
  • [30] A decision feedback recurrent neural equalizer for digital communication
    Ong, S
    Choi, S
    You, C
    Hong, D
    IEEE TRANSACTIONS ON MAGNETICS, 1997, 33 (05) : 2767 - 2769