论文信息 - A Class of New Channel Estimation Approach Based on RBF Neural Network Technique

A Class of New Channel Estimation Approach Based on RBF Neural Network Technique

A new channel estimation method of neural network based on complex radial basis function (CRBF) is proposed to enhance the anti- interference ability of traditional pilot frequency estimation algorithm in power line communication (PLC). This method builds up a new channel model of complex field signals in PLC. The complete response model was established by using transmitting terminal's pilot signal as input sample data, pilot signal's frequency response as output sample data, and pre-setting mean square error (MSE) and diffusion constant.

[1] Bahram Honary,et al. Power line communications: state of the art and future trends , 2003, IEEE Commun. Mag..

[2] LEV Silva,et al. Reconstruction of multivariate signals using q-Gaussian radial basis function Network , 2010, 2010 Computing in Cardiology.

[3] Luís Díez del Río,et al. Broadband modelling of indoor power-line channels , 2002, IEEE Trans. Consumer Electron..

[4] J. Anatory,et al. Trends in telecommunication services provision: powerline network can provide alternative for access in developing countries , 2004, 2004 IEEE Africon. 7th Africon Conference in Africa (IEEE Cat. No.04CH37590).

[5] E. Gunawan,et al. Performance analysis of OFDM systems for broadband power line communications under impulsive noise and multipath effects , 2005, IEEE Transactions on Power Delivery.

[6] Paul S. Henry. Interference characteristics of broadband power line communication systems using aerial medium voltage wires , 2005, IEEE Communications Magazine.

[7] Zhang Bao. CONCEPT AND KEY TECHNIQUES OF USING POWER TRANSMISSION LINES AS COMMON PLATFORM FOR TELEPHONE, COMPUTER, TELEVISION AND POWER TRANSMISSION NETWORKS , 2001 .