Blind Estimation of Channel Order and SNR for OFDM Systems
| Autor: | Ting Zhou, Mingqi Li, Tianheng Xu, Jinfeng Tian, Honglin Hu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
time-varying autocorrelation function
SNR estimation General Computer Science Optimal estimation Orthogonal frequency-division multiplexing Computer science Noise (signal processing) 020208 electrical & electronic engineering Autocorrelation General Engineering Estimator 020206 networking & telecommunications channel order estimation 02 engineering and technology Cyclic prefix Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Algorithm lcsh:TK1-9971 Communication channel Computer Science::Information Theory OFDM |
| Zdroj: | IEEE Access, Vol 6, Pp 12656-12664 (2018) |
| ISSN: | 2169-3536 |
| Popis: | In this paper, blind channel order and signal to noise ratio (SNR) estimators based on time-varying autocorrelation function (TVAF) are proposed for orthogonal frequency division multiplexing systems. The TVAF of the received signal reveals clearly the inherent periodicity introduced by cyclic prefix (CP) and carries rich information of channel and additive noise. To investigate the relationships among the TVAF, channel order, and SNR, a newly close-form expression of the TVAF of the received signal is derived. Not only the CP-induced TVAF components but the channel-spread TVAF elements are employed to derive the proposed estimators. Specifically, the two kinds of the TVAF components are separate from the components superimposed by the additive noise, which enables optimal estimation performance even for the low SNR regime. Numerical results show that, in contrast with the alternative methods, the proposed estimators achieve significant performance gain in the low SNR regime, while hold competitive performance in the high SNR regime. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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