脉冲噪声环境下基于循环频率截面累加量的码元速率估计  

Symbol Rate Estimation Algorithm Based on Accumulated Amount of Cyclic Frequency Section in Impulsive Noise Environment

作　　者：马金全[1] 葛临东[1] 童莉[1] 

机构地区：[1]信息工程大学

出　　处：《信息工程大学学报》2014年第3期306-312,共7页Journal of Information Engineering University

摘　　要：为了提高非高斯α稳定分布噪声环境下MPSK信号码元速率的估计准确率,提出了一种基于循环频率截面累加量的MPSK信号新的码元速率估计算法。算法采用一种新的归一化压缩函数,对含有α稳定分布噪声的MPSK信号进行非线性压缩,有效抑制了脉冲噪声对于循环谱密度的影响,并保留了码元变换时的跳变信息;通过在循环谱密度的f=0截面搜寻最大值,确定在循环频率截面的搜索范围,利用在该范围内进行循环谱密度的累加量,实现了MPSK信号的码元速率估计。仿真实验结果表明,该算法比现有的码元速率估计算法具有更好的稳定性和准确性。A new symbol rate estimation algorithm is proposed to improve the accuracy of symbol rate estimation for MPSK signals in alpha stable noise environment. By using normalized compression function to compress the observed signals, the impulse noise influence on the cyclic spectral density is restrained effectively, and the information of code hopping is preserved. By means of the maximal value of cyclic spectrum density at the section of f=O, the search scope of the cyclic frequency section is confirmed. The accumulated amount of the cyclic spectral density in the scope results in the estimation of the symbol rate. Simulation experimental results show the new algorithm can achieve better stability and accuracy than other existing algorithms.

关 键 词：非高斯信号处理 Α稳定分布 码元速率估计 循环谱密度 

分 类 号：TN911.7[电子电信—通信与信息系统]