A novel phase based SNR estimation method for constant modulus constellations

A novel signal-to-noise ratio (SNR) estimation algorithm for digital communication systems is presented. Lack of knowledge of both the current channel's transfer function and the current noise power is a typical property of systems, which transmit over multipath time varying channels. In order to overcome this impediment we designed a SNR estimation method that only makes use of the phases of the received signal and the ones of the transmitted signal or an estimate of them without regarding the channel's transfer function. It is shown that the SNR calculation formula provides an excellent estimate for SNR values higher than 10dB and constellation schemes with constant modulus. Moreover, the method's enhanced performance in comparison to the well-known M2M4 moment based estimator when a relatively small number of symbols is used for the SNR estimation is shown through simulation results. It is finally explained how the new phase based estimator can be beneficially used in orthogonal frequency division multiplexing (OFDM) systems with faulty frame synchronization or/and a frequency offset.

[1]  Heidi Steendam,et al.  The effect of carrier phase jitter on the performance of orthogonal frequency-division multiple-access systems , 1998, IEEE Trans. Commun..

[2]  S. Biyiksiz,et al.  Multirate digital signal processing , 1985, Proceedings of the IEEE.

[3]  Heidi Steendam,et al.  Sensitivity of orthogonal frequency-division multiplexed systems to carrier and clock synchronization errors , 2000, Signal Process..

[4]  Norman C. Beaulieu,et al.  A comparison of SNR estimation techniques for the AWGN channel , 2000, IEEE Trans. Commun..

[5]  R. Matzner,et al.  An SNR estimation algorithm using fourth-order moments , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

[6]  Hua Xu,et al.  The simple SNR estimation algorithms for MPSK signals , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[7]  Bin Li,et al.  New results on SNR estimation of MPSK modulated signals , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[8]  Norman C. Beaulieu,et al.  Comparison of four SNR estimators for QPSK modulations , 2000, IEEE Communications Letters.