Improved SNR Estimation Technique for BPSK and QPSK Signals

Guang Zu Liu; Jian Xin Wang

doi:10.4028/www.scientific.net/AMM.239-240.994

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Improved SNR Estimation Technique for BPSK and...

Improved SNR Estimation Technique for BPSK and QPSK Signals

Abstract:

To improve the estimation accuracy of non-data-aided (NDA) signal-to-noise ratio (SNR) estimators at low SNR value, A novel estimation technique for binary phase-shift keying and quadrature phase-shift keying signals in complex additive white Gaussian noise channel is proposed. The mathematical relation between SNR and the ratio of two simple statistical computations is derived, then SNR is determined by looking up a table. Its accuracy surpasses other NDA estimators, approaching closely to the Cramer-Rao lower bound at SNR > 5dB.

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Applied Mechanics and Materials (Volumes 239-240)

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994-999

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.994

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Online since:

December 2012

Authors:

Guang Zu Liu, Jian Xin Wang

Keywords:

Binary Phase-Shift Keying, Non-Data-Aided, Quadrature Phase-Shift Keying, Signal-to-Noise Ratio (SNR)

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References

[1] D. R. Pauluzzi, N. C. Beaulieu. IEEE Transactions on Communications, October 2000, Vol. 48, No. 10, pp.1681-1691.

Google Scholar

[2] T. A. Summers, S. G. Wilson. IEEE Transactions on Communications, April 1998, Vol. 46, No. 4, pp.421-423.

Google Scholar

[3] Hua Xu, Hui Zheng. The Simple SNR Estimation Algorithms for MPSK Signals, Proc. Int. Conf. Signal Processing, Bangalore, August-September 2004, Vol. 2, pp.1781-1785.

DOI: 10.1109/icosp.2004.1441681

Google Scholar

[4] Bakkali, M., Stephenne, A., and Affes, S., Iterative SNR estimation for MPSK modulation over AWGN channels, Proc. IEEE 64th Vehicular Technology Conf. (VTC), Montreal, QC, Canada, September 2006, pp.1-5.

DOI: 10.1109/vtcf.2006.350

Google Scholar

[5] A. Ijaz, A. B. Awoseyila, B. G. Evans. Electronics Letters, 30th July 2009, Vol. 45, No. 16. pp.858-859.

Google Scholar