云计算下的信道均衡选择方法研究与改进

Research and improvement of channel equalization method under cloud computing

传统自适应信道均衡方法在对云计算下的信道信号传输过程进行均衡控制时,通过训练在接收端调整均衡器,易导致信道信号传播时因训练序列的插入出现传输滞后问题,使得通信中有效数据的传输率降低。因此,对云计算下的信道均衡选择方法进行研究与改进,设计的信道均衡器包括滤波器模块、调整模块和辨识模块。滤波器模块对均衡器输入信号进行补偿,获取理想输出信号的预测信号,确保辨识模块依据预测信号,对云计算下的信道信号均衡情况进行分析。辨识模块采用辨识指导算法运算出误差信号,并将误差信号反馈到调整模块中。调整模块按照反馈的两路误差信号,采用滤波器的抽头系数调整迭代公式,运算出滤波器抽头的调整方向和潜在调整系数,再将潜在调整系数反馈到滤波器模块中。分析了信道均衡器的运行原理,以及其采用改进辨识指导算法进行工作的过程。实验结果表明,所设计的信道均衡器的误码率性能和收敛性能高,可确保信道具有较高的均衡性能。

The traditional adaptive channel equalization method is easy to cause the channel signal transmission lag,which makes the effectiverate data transmission rate reduced.Therefore,the channel equalization selection methods under cloud computing are studied and improved.The designed channel equalizer includs filter module,adjusting module and identification module.The filter module is used to compensate the signal from the equalizer to obtain the forecast signal of ideal output signal,so as to ensure that the identification module analyzes the channel signal equilibrium condition under cloud computing according to the predictive signal.The identification module adopts recognition guidance algorithm to compute the error signal,and feeds the error signal back to the adjusting module.The adjusting module adjusts the iterative formula by means of filter′s tap coefficients according to the two error signals,operate adjustment direction and potential adjusting coefficient of filter tap,and then feed the potential adjusting coefficient back to filter module.The operation principle of the channel equalizer and the work process of thechannel equalizer with the improved identification guidance algorithm are analyzed.The experimental results indicate that the designed channel equalizer has high bit error rate performance and convergence performance,and can ensure the channel has high balance performance.