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《Journal of Data Acquisition and Processing》 2011-05
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Blind SNR Estimation for Digital Communication Signals

Tan Xiaobo,Zhang Hang(Institute of Communication Engineering,PLA University of Science & Technology,Nanjing,210007,China)  
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.
【Fund】: 国家重点基础研究发展计划(“九七三”计划)(2009CB320400)资助项目;; 国家自然科学基金(61001106)资助项目
【CateGory Index】: TN911.72
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Chinese Journal Full-text Database 1 Hits
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Chinese Journal Full-text Database 3 Hits
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