【摘要】 提出一种基于神经网络谐波平衡的高速移动通信GSM-R干扰信号分离算法。构建高速移动通信信道模型并设计码内干扰抑制算法,根据Fourier变换的可逆性,采用神经网络控制算法进行系统稳定性控制,得到高速移动通信数据传输的GSM-R信号多径结构谐波平衡方程,设计神经网络谐波平衡滤波器结构,实现对GSM-R干扰信号的优化分离。仿真结果表明,采用该算法能效实现对高速移动通信中的GSM-R干扰信号分离,输出信噪比有较大幅度的提高,大幅降低了高速移动通信系统的误码率,改善通信质量和性能。更多还原

【Abstract】 In this paper, a harmonic balance based on neural network of high-speed mobile GSM-R jamming signal separation algorithm. Build high-speed mobile communication channel model is built and yard radius interference suppression algorithm based on Fourier transform is reversible, neural network control algorithm is adopted to improve the system stability control, get a high speed mobile communication data transmission GSM-R signal multipath structure harmonic balance equation, the designed neural network filter structure of harmonic balance, realize the optimization of GSM-R jamming signal separation. The simulation results show that this algorithm is the implementation of energy efficiency in high speed mobile communication GSM-R jamming signal separation, the output signal-to-noise ratio are improved greatly, greatly reduce the bit error rate of high-speed mobile communication system, improve the quality and performance of communication.更多还原