A Low Complexity SNR Estimator for QPSK Modulation in AWGN Channel

Zhixin Li; Nan Wu; Desheng Shi; Hua Wang; Jingming Kuang

8th International Conference on Communications and Networking in China

Research Article

A Low Complexity SNR Estimator for QPSK Modulation in AWGN Channel

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/ChinaCom.2013.6694578,
    author={Zhixin Li and Nan Wu and Desheng Shi and Hua Wang and Jingming Kuang},
    title={A Low Complexity SNR Estimator for QPSK Modulation in AWGN Channel},
    proceedings={8th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2013},
    month={11},
    keywords={snr estimator non-data-aided qpsk},
    doi={10.1109/ChinaCom.2013.6694578}
}

Zhixin Li
Nan Wu
Desheng Shi
Hua Wang
Jingming Kuang
Year: 2013
A Low Complexity SNR Estimator for QPSK Modulation in AWGN Channel
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694578

Zhixin Li¹, Nan Wu¹^,*, Desheng Shi¹, Hua Wang¹, Jingming Kuang¹

1: Beijing Institute of Technology

*Contact email: wunan@bit.edu.cn

Abstract

A low complexity non-data-aided (NDA) signal-to-noise ratio (SNR) estimator is proposed for quadrature phase shift keying (QPSK) signals in complex additive white Gaussian noise (AWGN) channel. The novel SNR estimator utilizes the constant amplitude characteristics of the in-phase and quadrature components of QPSK modulation to evaluate the signal power and the noise power separately. The estimation mean and normalized mean square error (NMSE) of the proposed SNR estimator are investigated by Monte Carlo simulations. Results demonstrate that, compared with M2M4 algorithm and Ijaz’s method, the proposed estimator saves about 80% and 50% multiplications, respectively. Furthermore, the proposed method performs better than other NDA SNR estimators at the same computational complexity.

Keywords: snr estimator non-data-aided qpsk

Published: 2013-11-14
Publisher: IEEE

: http://dx.doi.org/10.1109/ChinaCom.2013.6694578