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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Vydáno v:	2015 IEEE Symposium on Computers and Communication (ISCC) s. 632 - 636
Hlavní autoři:	Xianzhong Xie, Yuanyuan Liu, Weijia Lei
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.07.2015
Témata:	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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Popis
Shrnutí:	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