基于改进SAMP算法的UFMC系统信道估计研究

Channel estimation of UFMC system based on improved SAMP algorithm

针对通用滤波器多载波系统输出性能较低,精度较差的缺陷,提出了一种改进贪婪算法。在贪婪算法的运行过程中对数据进行正则化处理,使得残差信号与原子集矩阵相关度较高,而系统的输出性能更好;又对贪婪算法得到的稀疏系数进行有序整理,计算了相邻系数残差,依据杂噪比来设计阈值滤除噪声,能有效降低由于噪声形成的影响。仿真实验结果表明,在通用滤波器多载波系统下,改进的贪婪算法误比特率和均方误差都随着信噪比的增大而逐渐减小,从而达到优化系统的目的。

An improved greedy algorithm is proposed to improve the output performance and accuracy of universal filtered multi-carrier(UFMC)system.In the running process of greedy algorithm,the data is regularized to make the residual signal have a high correlation with the atomic set matrix,and the output performance of the system is better;the sparse coefficients obtained by greedy algorithm are sorted out orderly,and the residual of adjacent coefficients is calculated,and the threshold value is designed to filter the noise according to the clutter noise ratio,which can effectively reduce the influence of noise.The simulation results show that in UFMC system,the bit error rate and mean square error of the improved greedy algorithm gradually decrease with the increase of signal-to-noise ratio,so as to achieve the purpose of optimizing the system.