DocumentCode
1773495
Title
Pilot based Pre FFT channel estimation for OFDM systems in rayleigh-fading channel
Author
Khan, Adnan M. ; Jeoti, Varun ; Zakariya, M.A.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear
2014
fDate
3-5 June 2014
Firstpage
1
Lastpage
5
Abstract
Channel impairments degrade the performance of accurate data signal detection and decoding. The said problem becomes further severe in low SNR environment. As a result it reduces the performance of channel estimation. To alleviate this problem we develop a pilot based Pre FFT (time domain) channel estimation technique in the presence of Rayleigh fading channel. A novel time domain channel estimation technique is proposed that accurately measure the channel impulse response by using cross correlation between received signal and pilot carriers, especially at low SNR. In addition, the proposed technique enhances robustness in Orthogonal Frequency Division Multiplexing (OFDM) channel estimation by reducing Mean Square Error (MSE). Simulation results show that proposed method provides better accuracy in term of MSE over conventional techniques (LS and MMSE) that estimate the channel impulse response in frequency domain.
Keywords
OFDM modulation; Rayleigh channels; channel estimation; fast Fourier transforms; OFDM systems; Rayleigh fading channel; channel impairments; cross correlation method; data signal decoding; data signal detection; fast Fourier transform; mean square error; orthogonal frequency division multiplexing; pilot carrier; preFFT channel estimation; received signal; time domain channel estimation technique; Channel estimation; Correlation; Estimation; Frequency-domain analysis; OFDM; Signal to noise ratio; Time-domain analysis; LS; MMSE and DVB-T; OFDM; Pre FFT;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4799-4654-9
Type
conf
DOI
10.1109/ICIAS.2014.6869494
Filename
6869494
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