naa a22 4500 510795730 CHVBK 20180411083336.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11277-011-0495-0 doi (NATIONALLICENCE)springer-10.1007/s11277-011-0495-0 Cyclostationarity-Based Narrowband Interference Suppression for Heterogeneous Networks Using Neural Network [Elektronische Daten] [Zan Yang, Xiaoxin Zhang, Yuping Zhao] This paper proposes a narrowband interference (NBI) suppression algorithm for Direct Sequence-Code Division Multiple Access systems. The NBI is considered from heterogeneous networks, and predicted based on its cyclostationary characteristic using a nonlinear feed-forward neural network predictor which eliminates the nonlinearity of the spread spectrum (SS) signal in the NBI prediction. To further improve the suppression performance, this paper exploits the structure of the spreading code, and proposes an iterative code-aided algorithm to jointly estimate the NBI and the SS signal. Simulation results reveal that the proposed algorithm largely outperforms the conventional linear prediction filtering and linear-conjugate linear polyperiodically time-varying filtering methods in both the signal to interference plus noise ratio improvement and the bit error rates, when it operates in NBI-contaminated environments. Springer Science+Business Media, LLC., 2011 Cyclostationarity nationallicence Neural network nationallicence Narrowband interference suppression nationallicence DS-CDMA nationallicence Yang Zan State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, People's Republic of China aut Zhang Xiaoxin QUALCOMM, San Diego, CA, USA aut Zhao Yuping State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, People's Republic of China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 68/3(2013-02-01), 993-1012 0929-6212 68:3<993 2013 68 11277 https://doi.org/10.1007/s11277-011-0495-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-011-0495-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Zan State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Zhang Xiaoxin QUALCOMM, San Diego, CA, USA aut NATIONALLICENCE 700 1- Zhao Yuping State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, People's Republic of China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 68/3(2013-02-01), 993-1012 0929-6212 68:3<993 2013 68 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer