Computer Science ›› 2016, Vol. 43 ›› Issue (8): 71-73.doi: 10.11896/j.issn.1002-137X.2016.08.014

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Improved Non-data-aided SNR Estimation Algorithm

YANG Jun, JIANG Hong and ZHANG Qiu-yun   

  • Online:2018-12-01 Published:2018-12-01

Abstract: 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 proposed 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 otherexisting algorithms obviously.

Key words: Non-data-aided,SNR estimation,QPSK signal,Data statistic,Estimation performance

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