Gafer, A.Y. and Elsadig, S. and Varun, J. (2012) Front-end signal to noise ratio estimation for DVBT fixed reception in flat-fading channel. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Signal to Noise Ratio (SNR) is a communication link quality evaluation indicator. The Digital Video Broadcasting-Terrestrial (DVB-T) is a European, pilot symbol assisted (PSA), wireless standard for broadcasting digital TV content. The DVB-T receiver is faced by the wireless environment challenges that lead to fluctuation in the received SNR level. In this paper we focus on estimating the DVB-T received signal's SNR for flat-fading channel scenario. We use the auto-correlation function (ACF) to estimate the total received signal plus noise power. The received signal-only power is estimated by cross-correlating the received signal with a locally generated version of the pilots. The algorithm is expressed in time domain (Pre-FFT), i.e. receiver front-end. The results of the proposed algorithm show that the algorithm can successfully work for a relatively wide range of SNRs. We use the Mean Square Error as statistical standard for measuring the deviation. © 2012 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 7; Conference of 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93534 |
Uncontrolled Keywords: | Autocorrelation functions; Communication link quality; Digital TV; Digital video broadcasting terrestrials; DVB-T; DVB-T receivers; Flat-fading; Flat-fading channels; Noise power; Pilot symbol assisted; Received signals; Receiver front-ends; Signal to noise ratio estimation; Statistical standards; Time domain; Wireless environment; Wireless standards, Algorithms; Communication channels (information theory); Estimation; Orthogonal frequency division multiplexing; Signal to noise ratio; Television broadcasting, Digital video broadcasting (DVB) |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2705 |