论文标题
最不均方根自适应算法的非线性兼容性的新颖改进
Novel Improvement for Nonlinear Compatibility of Least Mean Square Adaptive Algorithm
论文作者
论文摘要
为了改善最小平方正方形（LMS）适应算法以适应非线性传递函数，并在实际实现偏置电压和信号振幅的过程中调整自适应滤波器的系数，提出并模拟方法以开发非线性自适应滤波器。 LMS的输入被传统输入的衍生物所取代，每个训练迭代的步骤都由目标信号和实际信号之间的差异自适应控制。该模拟利用了Nyquist脉冲的实现光学采样，并用作数字信号处理预补偿，以减少频率响应对电线和设备的影响。模拟结果通过修改的适应算法方法显示出令人鼓舞的改进，以解决MACH ZEHNDER调节器的非单调传递函数。
In order to improve the least mean squares (LMS) adaptation algorithm to accommodate the nonlinear transfer function, and to adjust the coefficients of adaptive filter during the actual implement of bias voltage and signal amplitude, methods are proposed and simulated to develop a nonlinear adaptive filter. The inputs to LMS are replaced by the derivatives of traditional inputs, and the step for each training iteration is adaptively controlled by the difference between target signal and actual signal. The simulation utilizes the implementation of Nyquist pulses optical sampling and works as a digital signal processing pre-compensation to reduce influence of the frequency responses on wires and devices. The simulation result shows promising improvement with the modified adaptation algorithm method in tackling Mach Zehnder modulator's non-monotonic transfer function.
