Ultra-wideband signal modulation classification using RBF network

Author

Ma, Bo ; Zuo, Lihua ; Chen, Xiaoguang

Author_Institution

China Acad. of Space Technol., Beijing, China

Volume

11

fYear

2010

fDate

22-24 Oct. 2010

Abstract

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 10dB 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.

Keywords

adaptive codes; feature extraction; radial basis function networks; ultra wideband communication; RBF network; UWB receiver; adaptive coding UWB systems; radial basis function network; statistical characterization parameters; ultra wideband signal modulation classification; Artificial neural networks; Binary phase shift keying; Classification algorithms; Feature extraction; Pattern recognition; Probability; Mod Scheme recognition; RBF network; UWB; feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5623126

Filename

5623126