一种改进的非数据辅助SNR估计算法研究  

Improved Non-data-aided SNR Estimation Algorithm

作　　者：杨俊[1] 江虹[1] 张秋云[1] YANG Jun JIANG Hong ZHANG Qiu-yun(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China)

机构地区：[1]西南科技大学信息工程学院,绵阳621010

出　　处：《计算机科学》2016年第8期71-73,104,共4页Computer Science

基　　金：国家自然科学基金项目(61379005;10zg2117);中物院网络与信息安全重点实验室资助项目(2014-w10)资助

摘　　要：针对几种现有的非数据辅助信噪比估计算法对QPSK信号的信噪比估计性能较差的问题,提出了一种改进的低复杂度信噪比估计算法,以提高信噪比估计的估计范围和精度。改进算法首先将接收信号分为同相和正交两路信号;然后充分利用每路信号的过采样率信息,在每个过采样周期内对两路信号分别进行数据统计处理;最后根据处理得到的均值和方差信息获得信噪比估计值。仿真结果表明,该算法在-15~30dB信噪比范围内具有较小的估计偏差和估计均方误差,其估计性能明显优于现有其它算法。To solve the problem of low signal-to-noise ratio （SNR） estimation performance of several existing Non-data- aided （NDA） estimation algorithms for quadrature phase shift keying （QPSK） signal, this paper proposed an improved low complexity SNR estimation algorithm to improve the estimation precision and estimation range. Firstly, the pro- posed algorithm divides the received signal into in-phase channel and orthogonal channel. Then, this algorithm takes full advantage of information of over-sampling rate and makes data statistic processing for the two channel signals in per over-sampling period respectively. Finally, the SNR value is estimated according to the calculated mean value and variance of each channel signal. Simulation results show that the improved algorithm has low estimation bias and mean-squared- error （MSE） when the SNR value is in the range of --15 to 30 dB, and thus has better estimation performance than other existing algorithms obviously.

关 键 词：非数据辅助 信噪比估计 QPSK信号 数据统计 估计性能 

分 类 号：TN911.6[电子电信—通信与信息系统]