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

Author

Yang, Zan ; Zhao, Tingting ; Zhao, Yuping ; Yu, Jianli

Author_Institution

State Key Lab. of Adv. Opt. Commun. Syst. & Networks, Peking Univ., Beijing, China

fYear

2010

fDate

16-19 May 2010

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

code division multiple access; feedforward neural nets; interference suppression; iterative methods; spread spectrum communication; telecommunication computing; direct sequence-code division multiple access signal; feed-forward neural network predictor; iterative code-aided estimation; iterative narrowband interference suppression; Feedforward neural networks; Feedforward systems; Interference suppression; Iterative algorithms; Multiaccess communication; Narrowband; Neural networks; Predictive models; Recurrent neural networks; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st

Conference_Location

Taipei

ISSN

1550-2252

Print_ISBN

978-1-4244-2518-1

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2010.5493820

Filename

5493820