Research on Multi-modulus Blind Equalization Algorithm Based on RPROP Neural Network
LV Daqian
HE Jun
LI Rougang
Abstract：Aiming at the problem of traditional blind equalization algrithm's high computation and slow convergence , considering the advantages of resilient back‐propagation(RPROP) Neural Network's low computation and quick convergence , a kind of Multi‐modulus Blind Equalization algorithm based on RPROP neural network is proposed .By using Matlab ,consid‐ering 16QAM and 16PSK signals as input source ,the equalization's effects are studied .The result of simulation indicates that this algorithm can efficiently eliminate the intersymbol interference and reduce time of convergence .And it meets the ex‐pectations .
Keywords：blind equalizationmulti-modulus algorithmResilient Back-propagationneural network
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 44-46,158 )