SCFNN-Based Decision Feedback Equalization Robust to Frequency Offset and Phase Noise
作者： Yao-Jen Chang , Chia-Lu Ho
DOI: 10.1007/S00034-010-9258-5
关键词:
摘要: This paper proposes a self-constructing fuzzy neural network-based decision feedback equalizer (SCFNN DFE). An online learning algorithm containing the structure and parameter phases is employed in training SCFNN DFE. Specifically, feedforward input vector classification gradient-descent method are both used this algorithm. We show by simulations that proposed DFE offers improvement compared to traditional methods presence of frequency offset phase noise.
springer.com
sci-hub.se 参考文章(20)
Andrew Bateman, Digital Communications: Design for the Real World ,(2008)
Rui-Chang Lin, Chung-Ta Hsueh, Wan-De Weng, The Design of an SCFNN Based Nonlinear Channel Equalizer Journal of Information Science and Engineering. ,vol. 21, pp. 695- 709 ,(2005)
S Haykin, Adaptive Filter Theory ,(1986)
Chunguang Li, Xiaofeng Liao, Juebang Yu, Complex-Valued Recurrent Neural Network with IIR Neuron Model: Training and Applications Circuits Systems and Signal Processing. ,vol. 21, pp. 461- 471 ,(2002) , 10.1007/S00034-002-0119-8
S. Chen, B. Mulgrew, S. McLaughlin, Adaptive Bayesian equalizer with decision feedback IEEE Transactions on Signal Processing. ,vol. 41, pp. 2918- 2927 ,(1993) , 10.1109/78.236513
G.J. Gibson, S. Siu, C.F.N Cowan, Decision feedback equalisation using neural network structures and performance comparison with standard architecture IEE Proceedings I Communications, Speech and Vision. ,vol. 137, pp. 221- 225 ,(1990) , 10.1049/IP-I-2.1990.0031
Sammy Siu, Sheng-Sung Yang, Chien-Min Lee, Chia-Lu Ho, Improving the Back-Propagation Algorithm Using Evolutionary Strategy IEEE Transactions on Circuits and Systems Ii-express Briefs. ,vol. 54, pp. 171- 175 ,(2007) , 10.1109/TCSII.2006.883226
R.C. de Lamare, R. Sampaio-Neto, Space-Time Adaptive Decision Feedback Neural Receivers With Data Selection for High-Data-Rate Users in DS-CDMA Systems IEEE Transactions on Neural Networks. ,vol. 19, pp. 1887- 1895 ,(2008) , 10.1109/TNN.2008.2003286
Chuen-Tsai Sun, Jyh-Shing Roger Jang, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence ,(1996)
S. Gollamudi, S. Nagaraj, S. Kapoor, Yih-Fang Huang, Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size IEEE Signal Processing Letters. ,vol. 5, pp. 111- 114 ,(1998) , 10.1109/97.668945