Robust data-aided SNR estimation algorithm in high dynamic environment

A robust data-aided (DA) signal-to-noise ratio (SNR) estimation algorithm in the time domain is proposed in this paper, aiming at the volatile Doppler shift and carrier wave phase offset under dynamical scenarios for M-ary phase shift keying (MPSK) over the flat-fading complex channel. The proposed...

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Bibliographic Details
Published in:2015 IEEE Symposium on Computers and Communication (ISCC) pp. 632 - 636
Main Authors: Xianzhong Xie, Yuanyuan Liu, Weijia Lei
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2015
Subjects:
Algorithm design and analysis
Complexity theory
Doppler shift
Estimation
Heuristic algorithms
Phase offset
Phase shift keying
Signal to noise ratio
SNR estimation
Time domain
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Summary:A robust data-aided (DA) signal-to-noise ratio (SNR) estimation algorithm in the time domain is proposed in this paper, aiming at the volatile Doppler shift and carrier wave phase offset under dynamical scenarios for M-ary phase shift keying (MPSK) over the flat-fading complex channel. The proposed algorithm exploits data aided, delay conjugate multiplies the received signal, converts Doppler shift into fixed phase factors, and overcomes the impacts of Doppler shift and carrier wave phase offset. Furthermore, the impact of noise is analyzed and simulation results show that, compared with algorithms based on the spectrum analysis (FFT), the proposed algorithm is superior in the performance, especially in the estimation accuracy under low SNR scenarios and has low complexity.
DOI:10.1109/ISCC.2015.7405585