Iterative Narrowband Interference Suppression for DS-CDMA Systems Using Feed-Forward Neural Network

被引：0
|
作者：
Yang, Zan [1 ]
Zhao, Tingting [1 ]
Zhao, Yuping [1 ]
Yu, Jianli [2 ]
机构：
[1] Peking Univ, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China
[2] Zhongshan Univ Technol, Dept Math & Phys, Zhengzhou, Peoples R China
来源：
2010 IEEE 71ST VEHICULAR TECHNOLOGY CONFERENCE | 2010年
关键词：
REJECTION;
D O I：
暂无
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：
This paper proposes a feed-forward neural network predictor to adaptively estimate and suppress the narrowband interference (NBI) in the Direct Sequence-Code Division Multiple Access (DS-CDMA) signal. The iterative code-aided estimation is used to further improve the system performance. Simulation results reveal that the proposed algorithm outperforms conventional linear prediction filtering and recurrent neural networks (RNN) based NBI rejection methods, in different interference models.
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页数：5
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