基于离散时间细胞神经网络的GSM均衡器

北京大学学报（自然科学版）

基于离散时间细胞神经网络的GSM均衡器

赵建业, 王庭武, 余道衡

北京大学电子系，北京大学视觉与听觉信息处理实验室，北京，100871

收稿日期:1998-09-03 出版日期:1999-09-20 发布日期:1999-09-20

An Equalizer for GSM System Based on Hardware Annealing CNN

ZHAO Jianye, WANG Tingwu, YU Daoheng

Department of Electronics, Center of Information Science, Peking University, Beijing, 100871

Received:1998-09-03 Online:1999-09-20 Published:1999-09-20

摘要/Abstract

摘要： 提出并讨论了用离散时间细胞神经网络(DTCNN)实现用于GSM系统均衡器的可能性，并基于对均衡算法的分析推出了相应细胞神经网络模板的设计方法，针对存在多径干扰的二值信号处理问题进行了计算机仿真，结果证明了这一想法是合理的。

关键词: 自适应均衡, GSM系统, 细胞神经网络, 硬件退火

Abstract: In this paper, we proposed a discrete time cellular neural network (DTCNN) equalizer for GSM system and discussed the annealing method for DTCNN, both unannealed and annealed CNN equalizer's performance are simulated on computer. Compared with traditional GSM equalizer based on Viterbi Algorithm, DTCNN equalizer is easily realized. Through hardware annealing, we can set up high quality equalizer based on CNN for GSM system.

Key words: adaptive equalization, GSM system, CNN, hardware annealing

中图分类号:

TN911.5

赵建业, 王庭武, 余道衡. 基于离散时间细胞神经网络的GSM均衡器[J]. 北京大学学报（自然科学版）.

ZHAO Jianye,WANG Tingwu,YU Daoheng. An Equalizer for GSM System Based on Hardware Annealing CNN[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://xbna.pku.edu.cn/CN/

https://xbna.pku.edu.cn/CN/Y1999/V35/I5/712