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An Improved Technique of Channel Estimation for OFDM in DVB-T2

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 16
Year of Publication: 2014
Authors:
Ahmed H. Eldieb
Mona Z. Saleh
Salwa Elramly
10.5120/16882-6891

Ahmed H Eldieb, Mona Z Saleh and Salwa Elramly. Article: An Improved Technique of Channel Estimation for OFDM in DVB-T2. International Journal of Computer Applications 96(16):38-42, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Ahmed H. Eldieb and Mona Z. Saleh and Salwa Elramly},
	title = {Article: An Improved Technique of Channel Estimation for OFDM in DVB-T2},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {16},
	pages = {38-42},
	month = {June},
	note = {Full text available}
}

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) with pilot assisted channel estimation is widely applied in wireless communication systems due to its high rate transmission capability and its robustness to multi-path fading and delay. In this paper an improved channel estimation method for OFDM in second generation Digital Video Broadcasting for Terrestrial (DVB-T2) is presented based on a pilot arrangement in time-varying frequency-selective fading channels. A new method which is based on an improved Domain Transform Least Square Estimation method (DTLSE) and a Two Dimensional Interpolation method (2-DI) have been proposed. The proposed methods give a good BER performance compared to other considered methods . The estimation matrix size for obtaining Channel Impulse Response (CIR) depends only on the length of the channel not on the number of pilot subcarriers nor the size of OFDM symbol, it does not require knowledge of channel statistics and works for any pilot pattern. The Minimum Mean Squared Error (MMSE) channel estimation was considered as the reference method that gives the best BER performance but suffers from a high computational load. The proposed method is compared with the two other methods: the improved DTLSE and MMSE. The proposed method proves to give a reduction in complexity compared to the MMSE technique with a comparable performance but better than the DTLSE one.

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