Browse > Article

Channel Estimation for Mobile OFDM systems by LS Estimator based Kalman Filtering Algorithm  

Bae, Sang-Jun (INHA university telecommunication lab)
Jang, Yoon-Ho (INHA university telecommunication lab)
Nam, Sang-Kyun (Icube networkteam)
Kwak, Kyung-Sup (INHA university)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.12C, 2009 , pp. 1208-1215 More about this Journal
Abstract
In OFDM systems, mobile channel degrades the system performance seriously. Therefore, channel estimation technique is required to compensate for the degradation from the channel effects. However, conventional channel estimations in frequency domain induce ICI which is induced from Doppler frequency. In addition, a linear interpolation method causes inaccurate channel estimation. In order to minimize the effect of the interference and interpolation error, the proposed method combines LS method and Kalman filtering algorithm. Channel impulse response is adaptively tracked by Kalman filtering based on the information from LS estimator. Simulation results are presented to verify the performance of the proposed channel estimation over mobile channel environment. Simulation results show that the proposed method can effectively compensate for channel degradation.
Keywords
OFDM; Channel Estimation; LS estimator; Kalman Filter;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Y. S. Choi, Voltz. P.J., Cassara. F.A, 'On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channel,' IEEE trans. comm., Vol.49, No.10, pp.1375-1387, Aug. 2001   DOI
2 Coleri, S., Ergen, M.; Puri, A., Bahai, A., 'Channel estimation techniques based on pilot arrangement in OFDM systems,' IEEE Trans. Broad., Vol.48, No.3, pp.223- 229, Sep.2002   DOI   ScienceOn
3 Meng-Han Hsieh, Che-Ho Wei, 'Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels,' IEEE Trans. Cons., Vol.44, No.1, pp.217-225, Feb. 1998   DOI   ScienceOn
4 Gupta, P., Mehra, D.K., 'Kalman filter based channel estimation and ICI suppression for high mobility OFDM systems,' in Proc. IEEE ICIT'06, pp.612 – 615, Dec. 2006
5 Davis, L.M., Collings, I.B., Evans, R.J., 'Identification of time-varying linear channels,' in Proc. IEEE ICASSP'97, Vol.5, pp.3921-3924, Apr. 1997
6 C.K. Min, N.S. Chang, J. S. Cha, Joonhyuk Kang, 'MIMO-OFDM downlink channel prediction for IEEE802.16e systems using Kalman filter,' in Proc. IEEE WCNC'07, pp.942-946, Mar. 2007
7 IEEE Std 802.16e-2005, IEEE standard for Local and metropolitan area networks, 'Part 16: Air interface for fixed and mobile broadband wireless access systems,' Feb.2006
8 MORELLI Michele, MENGALI Umberto, 'A comparison of pilot-aided channel estimation methods for OFDM systems,' IEEE transactions on sig., Vol.49, No.12, pp.3065-3073, Dec, 2001   DOI   ScienceOn
9 B.W. Seo, H.G. Chung, 'Improved precoding-assisted blind channel estimation scheme for OFDM systems,' in Proc. IEEE 66th VTC'07, pp.1260-1264, Sept. 2007
10 Sternad, M., Aronsson, D., 'Channel estimation and prediction for adaptive OFDM downlinks,' in Proc. IEEE VTC'03, Vol.2, pp.1283- 1287, Oct. 2003
11 Yuping Zhao, Aiping Huang, 'A novel channel estimation method for OFDM mobile communication systems based on pilot signals and transform-domain processing,' in Proc. IEEE VTC'97, Vol.3, pp.2089-2093 May 1997
12 K.Y. Han, S.W. Lee, J.S. Lim, K.M. Sung, 'Channel estimation for OFDM with fast fading channels by modified Kalman filter,' IEEE Trans. Cons., Vol.50, No.2, pp.443-449, May 2004   DOI   ScienceOn
13 Zhenlan Cheng, Dahlhaus, D., 'Time versus frequency domain channel tracking using Kalman filters for OFDM systems with antenna arrays,' in Proc. IEEE 57th VTC'03, Vol.1, pp.651- 655, Apr.2003   DOI
14 Lin, R., Petropulu, A.P., 'Linear precoding assisted blind channel estimation for OFDM systems,' IEEE Trans. Vehicular Technology, Vol.54, No.3, pp.983-995, May 2005   DOI   ScienceOn
15 Negi, R., Cioffi, J., 'Pilot tone selection for channel estimation in a mobile OFDM system,' IEEE Trans. Cons., Vol.44, No.3, pp.1122-1128, Aug. 1998   DOI   ScienceOn
16 Bulumulla, S.B., Kassam, S.A., Venkatesh, S.S., 'A systematic approach to detecting OFDM signals in a fading channel,' IEEE Trans. Comm., Vol.48, No.5, pp.725-728, May 2000   DOI   ScienceOn
17 S. Haykin, Adatptive filter theory, 4th ed., Pearson Education, 2002
18 Stamoulis, A., Diggavi, S.N., Al-Dhahir, N., 'Intercarrier interference in MIMO OFDM,' IEEE Trans. Sig. Proc. ,Vol.50,No.10, pp.2451-2464, Oct. 2002   DOI   ScienceOn
19 M.K. Tsatsanis, G.B. Giannakis, G. Zhou, 'Estimation and equalization of fading channels with random coefficients,' IEEE Signal Processing, Vol.53, pp.211-299, Sept.1996   DOI   ScienceOn
20 W.C. Jakes, Microwave Mobile Communication, Wiley, 1974
21 M. Patzold, Mobile Fading channels, Wiley international USA, 2002
22 Al-Naffouri, Tareq Y., 'An em-based forward-backward Kalman filter for the estimation of time-variant channels in OFDM,' IEEE Trans on Sig., Vol.55, No.7, pp.3924-3930, Jul, 2007   DOI   ScienceOn