Browse > Article

Channel estimation of OFDM System using Matching Pursuit method  

Choi Jae Hwan (School of Electronic & Electrical Engineering, Kyungpook National University)
Lim Chae Hyun (School of Electronic & Electrical Engineering, Kyungpook National University)
Han Dong Seog (School of Electronic & Electrical Engineering, Kyungpook National University)
Yoon Dae Jung (School of Electronic & Electrical Engineering, Kyungpook National University)
Publication Information
Journal of Broadcast Engineering / v.10, no.2, 2005 , pp. 166-173 More about this Journal
Abstract
In this paper, we propose a mobile channel estimation algorithm using matching pursuit algorithm for orthogonal frequency division multiplexing (OFDM) systems. Least square (LS) algorithm, which is used as a conventional channel estimation algorithm for OFDM systems, has error probability of channel estimation affected by effects of noise. By estimating the channel of sparse type, the proposed algorithm reduces effects of noise during time intervals that multi-path signal doesn't exist. The proposed algorithm estimates a mobile receivingchannel using pilot information transmitted consequently. We compare performance of the proposed algorithm with the LS algorithm by measuring symbol error rate with 64QAM under a mobile multi-path fading channel model.
Keywords
OFDM; channel estimation; sparse type; LS estimation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Y. Liu and D. K. Borah, 'Estimation of fading channels with large possible delay spreads,' Electronics Letters, pp. 130131, Jan. 2003
2 B. Yang, K. B. Letaief, R. S. Cheng, and Z. Cao, 'Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling,' IEEE Trans. on Commun., vol. 49, pp. 467479, Mar. 2001
3 S. F. Cotter and B. D. Rao, 'Matching pursuit based decision- feedback equalizers,' in Proc. ICASSP'00, vol. V, Istanbul, Turkey, , pp. 27132716, June 2000
4 S. F. Cotter and B. D. Rao. 'Sparse channel estimation via matching pursuit with application to equalization,' IEEE Trans. on Commun., vol. 50. no. 3, pp. 374377, Mar. 2002
5 O. Edfors, M. Sandell, J.-J. van de Beek, S. K. Wilson, and P. O. Brjesson, 'OFDM channel estimation by singular value decomposition,' IEEE Trans. Commun., vol. 46, no. 7, pp. 931939, July 1998
6 M. Wax. and T. Kailath, 'Detection of signals by information theoretic criteria,' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 387392, Apr. 1985
7 J.-J. van de Beek, O. Edfors, M. Sandell, S. K. Wilson, and P. O. Borjesson, 'On channel estimation in OFDM systems,' in Proc. IEEE 45th Vehicular Technology Cone., Chicago, IL, pp. 815819, July 1995
8 3rd Generation Partnership Project, 'User equipment (VE) radio transmission and reception (FDD),' 3GPP Technical Specification, TS 25.101, V5.7.0, June 2003
9 Z. Yuanjin, 'A novel channel estimation and tracking method for wireless OFDM systems based on pilots and Kalman filtering,' IEEE Trans. on Consum. Electron., vol. 49, pp .275283, May 2003
10 S. F. Cotter et aI., 'Forward sequential algorithms for best basis selection,' IEE Proc. on Vision, Image and Signal Processing, vol. 146, no. 5, pp. 235244, rs, vol. 39, Oct. 1999
11 G. Xu, R. H. Roy III, and T. Kailath, 'Detection of number of sources via exploitation of centro-symmetry property,' IEEE Trans. Signal Processing, vol. 42, pp. 102112, Jan. 1994