Ultra-wideband Signal Modulation Classification using RBF Network

摘要：

In this paper, an Radial Basis Function (RBF) network based Ultra-Wide Band modulation scheme recognition algorithm is proposed. In the UWB receiver, the statistical characterization parameters of the UWB signal after A/D converter are extracted as the input neuron parameters of the input layer. Experiments show that the RBF network can achieve good recognition performance. The probability of the correct recognition of the RBF network with proper parameter spread is higher than 95％ at l0dB SNR condition. Compared with the traditional pattern recognition and statistics judgment algorithms, the RBF recognizer can achieve higher correct recognition probability and can classify the modulation scheme automatically. The method may be widely used in the design of adaptive coding UWB systems.

关键词： UWB mod scheme recognition RBF network feature extraction

作者: Bo Ma Lihua Zuo Xiaoguang Chen

作者单位: China Academy of Space Technology Beijing, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 631-634

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）