南京邮电大学学报（自然科学版）2011，Vol.31Issue(2)：78-82,93,6.
基于量子算法的MIMO-OFDM信号检测研究
Research of MIMO-OFDM Detection Based on Quantum Algorithm
摘要
Abstract
The optimal solution of signal detection is a Non-deterministic Polynomial-time hard (NP) problem. Since Radial Basis Function (RBF) neural network is prone to the local optimum and simple genetic algorithm has the shortcoming of slow convergence, a new type of quantum intelligent algorithm is proposed and applied into the MIMO-OFDM detection system. The new quantum intelligent algorithm makes use of quantum genetic algorithm (QGA) to optimize the initial data of the neural network, and quantum computation operation is presented in the course of optimization. Using this algorithm, the output of detector by QGA is the input of detector by the RBF neural network, which avoids the bit -error rate for selecting initial data randomly. It will further improve the detection property of MIMO-OFDM system. The numerical results show the method is good for the improvement of the detection rate and the reduction of bit-error rate.关键词
量子算法/量子遗传算法/RBF神经网络/多输入多输出/正交频分复用/信号检测Key words
quantum algorithm/ quantum genetic algorithm/ RBF neural network/ MIMO/ OFDM/signal detection分类
信息技术与安全科学引用本文复制引用
周敏,李飞,郑宝玉..基于量子算法的MIMO-OFDM信号检测研究[J].南京邮电大学学报（自然科学版）,2011,31(2):78-82,93,6.基金项目
教育部博士点基金(BJ206006)资助项目 （BJ206006）
