摘要
针对高斯白噪声信道下传统信噪比（Signal to Noise Ratio,SNR）估计算法适用的相位键控（PSK）调制阶数低、信噪比估计过程中数值计算系数大的问题,提出了一种新的8PSK信号盲信噪比估计算法。该算法理论分析了高斯白噪声信道下8PSK信号信噪比与中间观测量的数值关系,采用多项式拟合和观测量归一化处理的方式推导了二者的解析关系式。数值仿真表明该算法在-6~10 dB范围内,可取得良好的信噪比估计效果。
To address the problem of low-order PSK modulation and big numerical coefficient during SNR estimation in traditional SNR estimation algorithm in Gaussian channel,a new way of blind SNR estimation is proposed for 8PSK modulation signal.The algorithm theoretically analyzes the relationship between the SNR of 8PSK modulation signal and the middle observation value in AWGN channel,and deduces its analytic expression by polynomial fitting and middle observation value normalizing.The numerical simulation indicates that the algorithm can achieve perfect SNR estimation effect for SNR between-6 to 10 dB.
出处
《无线电工程》
2011年第11期16-18,49,共4页
Radio Engineering
关键词
信噪比估计
高斯信道
数据拟合
归一化处理
SNR estimation
Gaussian channel
data fitting
normalization processing
