Improved pilot-based LS and MMSE channel estimation using DFT for DVB-T OFDM systems

Khan, A.M. and Jeoti, V. and Zakariya, M.A. (2013) Improved pilot-based LS and MMSE channel estimation using DFT for DVB-T OFDM systems. In: UNSPECIFIED.

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Abstract

In this paper channel estimation techniques for Digital Video Broadcasting Terrestrial (DVB-T) based OFDM transmission and reception are investigated. Channel estimation based on comb type pilot arrangement is studied through Discrete Fourier Transform (DFT) algorithm. The estimation of channel at pilot frequencies is based on Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators while interpolation is done using linear and spline cubic interpolation. Existing channel estimation usually addresses the scattered and continual pilot arrangement for DVB-T based OFDM systems. Pilot based channel estimator presented here differs from previous methods in a way that it is based on comb type pilot arrangement, which accurately estimates the MSE in the presence of COST 207 Typical Urban Reception (TU6) channel model. This paper shows that DFT-based algorithm can improved the MSE of conventional LS and MMSE estimators by removing the impact of noise outside the maximum channel delay length. © 2013 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 26; Conference of 2013 3rd IEEE Symposium on Wireless Technology and Applications, ISWTA 2013 ; Conference Date: 22 September 2013 Through 25 September 2013; Conference Code:102391
Uncontrolled Keywords: Algorithms; Digital video broadcasting (DVB); Discrete Fourier transforms; Estimation; Frequency estimation; Interpolation; Orthogonal frequency division multiplexing; Wireless telecommunication systems, Cubic interpolation; DFT OFDM and DVB-T; Digital video broadcasting - terrestrials; Estimation techniques; LS; Maximum channel delay; Minimum mean-square error estimators; MMSE, Channel estimation
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:52
Last Modified: 09 Nov 2023 15:52
URI: https://khub.utp.edu.my/scholars/id/eprint/3895

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