基于最小均方误差的两步信号幅度估计算法  

Two-step Signal Amplitude Estimation Algorithm Based on Minimum Mean Square Error

作　　者：杜立婵 黄绎珲 DU Lichan;HUANG Yihui(School of Artificial Intelligence,Nanning College for Vocational Technology,Nanning 530008,China;School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China)

机构地区：[1]南宁职业技术学院人工智能学院,广西南宁530008 [2]广西大学计算机与电子信息学院,广西南宁530004

出　　处：《探测与控制学报》2021年第3期86-91,共6页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(61961004);广西自然科学基金项目资助(2018GXNSFAA138079);广西高校中青年教师基础能力提升项目资助(2017KY1022)。

摘　　要：针对单通道数字混合信号幅度估计精度不足的问题,提出一种基于最小均方误差的两步幅度估计方法。该方法采用高次方法或最大最小(MAX-MIN)法进行幅度的粗估计,然后利用接收序列累积量的最小均方(LMS)误差准则,通过自适应迭代更新参数,提高信号的幅度估计精度。仿真实验表明,算法经过50次迭代后,幅度估计误差减少一半以上,参数估计精度提升明显,算法收敛速度快,应用范围广,做到了性能和复杂度的较好折中,具有实用价值。Aiming at the problem of insufficient accuracy of single-channel digital mixed signal amplitude estimation,a two-step amplitude estimation method based on minimum mean square error was proposed.This method used the high-order method or the MAX-MIN method to make a preliminary estimate of the amplitude,and then used the least mean square(LMS)error criterion of the cumulative amount of the received sequence to update the parameters through adaptive iteration to improve the accuracy of signal amplitude estimation.Simulation experiments showed that after 50 iterations of the algorithm,the amplitude estimation error was reduced by more than 50%,and the parameter estimation accuracy was significantly improved.The algorithm had fast convergence speed and a wide range of applications,and had a good compromise between performance and complexity.

关 键 词：幅度估计 最小均方误差准则 高次方法 混合信号 

分 类 号：TN911.7[电子电信—通信与信息系统]