摘要
Nonlinear distortions must be compensated in many real-life systems, which are encountered in digital satellite and microwave channels or others, so adaptive equalization is of considerable practical interest. Radial basis function neural networks have the ability to equalize nonlinear channels, and a simplified version of it is proposed to fit for online implement. We focus on stochastic gradient technique, and get a good performance by adjusting only one coefficient and one center closest to the input vector. Simulations are included to verify the algorithm.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications, Proceedings |
| 编辑 | G. Benqing, X. Xiaowen |
| 页 | 300-303 |
| 页数 | 4 |
| 出版状态 | 已出版 - 2004 |
| 活动 | ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications - Beijing, 中国 期限: 1 11月 2004 → 4 11月 2004 |
出版系列
| 姓名 | ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications, Proceedings |
|---|
会议
| 会议 | ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 1/11/04 → 4/11/04 |
指纹
探究 'Online adaptive nonlinear channel equalization using RBF neural networks' 的科研主题。它们共同构成独一无二的指纹。引用此
Junxia, T., Liping, D. U., Jingming, K., & Hua, W. (2004). Online adaptive nonlinear channel equalization using RBF neural networks. 在 G. Benqing, & X. Xiaowen (编辑), ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications, Proceedings (页码 300-303). (ICCEA 2004 - 2004 3rd International Conference on Computational Electromagnetics and its Applications, Proceedings).