基于量子算法的MIMO-OFDM信号检测研究

信号的最优检测在常规条件下是-NP难解问题,针对RBF(径向基函数)神经网络算法易陷入局部极值和简单遗传算法收敛速度慢的问题,文中提出了新型的量子智能算法,并应用于MIMO-OFDM系统信号检测中:算法将遗传算法与神经网络相结合,用遗传算法优化神经网络初始值,在遗传算法优化神经网络时采用量子计算操作.由于QGA(量子遗...

Research of MIMO-OFDM Detection Based on Quantum Algorithm

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.