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	Iterative Narrowband Interference Suppression for DS-CDMA Systems Using Feed-Forward Neural Network
	Yang, Zan ; Zhao, Tingting ; Zhao, Yuping ; Yu, Jianli
	2010
关键词	REJECTION
英文摘要	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.; Engineering, Electrical & Electronic; Telecommunications; Transportation Science & Technology; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/VETECS.2010.5493820
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292966]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yang, Zan,Zhao, Tingting,Zhao, Yuping,et al. Iterative Narrowband Interference Suppression for DS-CDMA Systems Using Feed-Forward Neural Network. 2010-01-01.

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