Title :
Channel estimation for OFDM systems
Author :
James, A.R. ; Benjamin, Revathy S. ; John, S. ; Joseph, Treesa Mary ; Mathai, Vineetha ; Pillai, Sakuntala S.
Author_Institution :
Dept. Electron. & Commun., Mar Baselios Coll. of Eng. & Technol., Trivandrum, India
Abstract :
Orthogonal frequency division multiplexing (OFDM) has attracted a lot of attention because of its high data rate, high spectrum efficiency and robustness against frequency-selective fading channels This paper addresses channel estimation based on time-domain channel statistics. Here the statistical characteristics of AWGN channel is estimated using different methods like LS, MMSE and DFT-CE. The channel autocorrelation matrix and noise variance is obtained by using the noise suppressed channel impulse response. In this paper an efficient and improved channel estimation technique is presented using the MMSE channel estimation method.
Keywords :
AWGN channels; OFDM modulation; channel estimation; discrete Fourier transforms; error statistics; fading channels; least mean squares methods; matrix algebra; AWGN channel; DFT-CE method; LS method; MMSE method; OFDM System; channel autocorrelation matrix; channel estimation; frequency-selective fading channel; noise suppressed channel impulse response; noise variance; orthogonal frequency division multiplexing; spectrum efficiency; time-domain channel statistics; Channel estimation; Correlation; Estimation; Frequency domain analysis; Hidden Markov models; Noise; OFDM; OFDM; channel estimation; mean square error(MSE); minimum mean square error(MMSE); symbol error rate(SER);
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024619
