华中科技大学学报（自然科学版）Issue(2)：96-100,5.DOI:10.13245/j.hust.140221
基于神经网络的变换域通信系统接收技术
Neural network based receiving technology in transform domain communication system
摘要
Abstract
A technique of the receiver without estimation of the local basis function in transform do-main communication system (TDCS) was proposed .A detailed description of the principle of the re-ceiver was analyzed .The objective of the newly established model of receiver is to maximize the ener-gy of the correlation demodulating signal ,and the maximum eigenvector solved from the covariance matrix of the reception data can be regarded as the basis function of the optimal receiver .T he neural network(NN) based on Hebbian learning and training process was introduced to adaptively estimate the maximum eigenvector .Theoretical analysis and simulation results show that the network connect strength vector of the estimated basis function is quite similar to that of the transmitter when the algo-rithm is convergence , and even w hen the basis function of transmitter varies , the algorithm can achieve accurate tracking as well .The reception performance of the system is in good agreement with that under the ideal condition when the number of iterative detection is 300 with a bit error rate of 1 × 10-4 ,and the signal-to-noise ratio (SNR) loss is below 1 dB .关键词
变换域通信系统/基函数/神经网络/自适应估计/最大特征值Key words
transform domain communication system (TDCS)/basis function/neural network (NN)/adaptive estimation/maximum eigenvalue分类
信息技术与安全科学引用本文复制引用
谢铁城,达新宇,褚振勇,张亚普..基于神经网络的变换域通信系统接收技术[J].华中科技大学学报（自然科学版）,2014,(2):96-100,5.基金项目
国家自然科学基金资助项目（60972042，61271250）；空军工程大学信息与导航学院研究生论文创新基金项目（2011004）． （）
