数据采集与处理2011，Vol.26Issue(5)：547-552,6.
一种数字通信信号盲信噪比估计方法
Blind SNR Estimation for Digital Communication Signals
摘要
Abstract
A subspace theory based approach to blind signal-to-noise ratio (SNR) estimation for digital communication signals is proposed. Firstly, the method constructs the autocorrelation matrix with special dimensions according to the autocorrelation sequence of the signals, and then considering its real applications, coordinate rotation digital computer (CORDIC) algorithm is used to implement Jacobi rotation to autocorrelation matrix eigenvalues decomposition, which can avoid the use of multipliers in its hardware implementation. Moreover, six kinds of digital modulated signals are applied to simulations for blind SNR estimations. Performance of the estimator is simulated and analyzed in additional white noise (AWGN) channel while the simulation SNR is set as-10-30 dB. Finally, simulations show that the estimation of standard deviation is less than 0. 5 dB when the actual SNR is-5-22 dB, and the proposed SNR estimator has unbiased asymptotic properties, which proves that the method is effective to blind SNR estimation.关键词
信噪比估计/子空间分解/坐标旋转数字计算/Jacobi旋转/特征值Key words
SNR estimation/subspace decomposition/CORDIC/Jacobi rotation/eigenvalue分类
信息技术与安全科学引用本文复制引用
谭晓波,张杭..一种数字通信信号盲信噪比估计方法[J].数据采集与处理,2011,26(5):547-552,6.基金项目
国家重点基础研究发展计划(“九七三”计划)(2009CB320400)资助项目 （“九七三”计划）
国家自然科学基金(61001106)资助项目. （61001106）
