DocumentCode :
1690852
Title :
Cyclic prefix assisted sparse channel estimation for OFDM systems
Author :
Sudheesh, P. ; Jayakumar, Ashwin ; Siddharth, R. ; Srikanth, M.S. ; Bhaskar, N.H. ; Sivakumar, V. ; Sudhakar, C.K.
Author_Institution :
Dept. of ECE, Amrita Vishwa Vidyapeetham, Coimbatore, India
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper an efficient algorithm is presented for the estimation of a channel modelled as sparse for an OFDM system. Conventional Pilot-Based techniques and blind estimation techniques require a large number of pilot tones and complex mathematical computations respectively to estimate the channel vector. This drawback is particularly pronounced in sparse systems where the effective channel vector has a very few number of taps. The proposed method uses a modification made to the Cyclic Prefix to detect the position of the most significant taps (MST) for a sparse channel. Least Square estimation method is then used to effectively estimate the channel vector. Prior knowledge of the most significant tap positions obtained from the cyclic prefix ensures spectral and computational efficiencies.
Keywords :
OFDM modulation; channel estimation; least squares approximations; OFDM systems; blind estimation techniques; channel vector; conventional pilot-based techniques; cyclic prefix assisted sparse channel estimation; least square estimation; most significant taps; sparse systems; Accuracy; Channel estimation; Computational complexity; Estimation; Peak to average power ratio; Vectors; MIMO-OFDM; PAPR; cyclic prefix; most significant taps; sparse channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication and Applications (ICCCA), 2012 International Conference on
Conference_Location :
Dindigul, Tamilnadu
Print_ISBN :
978-1-4673-0270-8
Type :
conf
DOI :
10.1109/ICCCA.2012.6179232
Filename :
6179232
Link To Document :
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