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A Novel SNR Estimation Technique for OFDM Systems

Manzoor, Shahid (2008) A Novel SNR Estimation Technique for OFDM Systems. Masters thesis, Universiti teknologi Petronas.

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Orthogonal Frequency Division Multiplexing (OFDM) systems have received a lot of attention because of their robust performance in frequency dispersive channels. Further performance improvement is achieved by employing more sophisticated receiver techniques that often require the knowledge of signal-to-noise ratio (SNR) - broadly defined as the ratio of the desired signal power to the unwanted noise power. For example, noise variance and, hence, signal to noise ratio (SNR) estimates of the received signal are very important for the channel quality control in communication systems. Similarly, in advanced communication systems, SNR estimation is used for adaptive algorithms for modulation, power control and coding. The objective of the work undertaken in this thesis is to design a front-end noise power estimator and, thence, SNR estimator. The proposed SNR estimator utilizes the OFDM preamble signal - the preamble used for synchronization. The estimation is achieved by auto correlating the preamble and it is deployed right at the front-end of the receiver. Noise power and, hence, signal power is estimated from the correlation results. The technique is also extended to obtaining noise power estimates of colored noise using wavelet-packet based filter bank analysis of the noise. In order to benchmark the proposed noise power and SNR estimation technique, a complete end-to-end fixed-broadband-wireless-access-system (IEEE 802.16d) simulation has been developed and the results are compared with other works reported in the literature. The simulations are conducted in both frequency non-dispersive and dispersive channels with real additive white Gaussian noise (A WGN) and also colored noise. It is observed that the proposed estimator gives better SNR estimates. The proposed estimator is also checked with WiMAX systems (IEEE802.\6d, 2004) using SUI multipath channels and with Wi-Fi systems (IEEE802.11 a) with indoor channel models. The estimator performs SNR estimation at front-end of the receiver unlike all other estimators which perform SNR estimation at back-end of the receiver. Furthermore, the proposed estimator has relatively low computational complexity; for it makes use of only one OFDM preamble signal to find the SNR estimates. The criteria of good SNR estimator are accuracy of estimates, low complexity and easy to implement. The results show that the proposed estimator fulfills these criteria successfully.

Item Type: Thesis (Masters)
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Prototyping
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2013 11:07
Last Modified: 25 Jan 2017 09:44
URI: http://utpedia.utp.edu.my/id/eprint/8243

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