一种信道系数服从高斯分布的8PSK信号信噪比盲估计算法

Blind SNR Estimation Algorithm for 8PSK Signalin the Channel of Gaussian Distribution Coefficients

摘要:

信噪比(SNR,Signal to Noise Ratio)是衡量通信系统性能的重要指标。针对传统信噪比估计算法要求利用训练序列或一帧数据范围内信道系数恒定等问题,提出了一种8PSK信号在信道系数服从高斯分布的衰落信道下盲信噪比估计算法。该算法取接收信号实部或虚部数值运算构成中间观测量,理论分析8PSK信号经过衰落信道后的信噪比与中间观测量的数值关系,并采用多项式数据拟合和观测量归一化处理的方式,推导信噪比与中间观测量的解析式。数值仿真表明该算法在0～8 dB范围内可取得良好的信噪比估计效果。

Abstract:

SNR is an important parameter to weigh communication system. A blind SNR estimation algorithm for 8PSK signal in the channel whose coefficients obey Gaussian distribution was proposed in allusion to the problem of requiring training sequence or channel coefficients being constant in the frame for traditional SNR estimating. The relationship was theoretically analyzed between the SNR of 8PSK modulation signal and observation value that numerically combined by real or imaginary part of the receiving signal, and its analytic expression was deduced by polynomial fitting and middle observation value normalizing. The numerical simulation indicated that the algorithm could achieve perfect SNR estimation effect for the SNR between 0 to 8dB.