Channel Estimation Model for Multi-carrier System in Fast Random-varying Channel with Optimum Spectral Utilization


  • Shuvabrata Bandopadhaya Silicon Institute of Technology
  • Jibendu Sekhar Roy


Orthogonal frequency division multiplexing, pilot added channel estimation, decision-direct channel estimation, spectral efficiency.


This paper proposes a novel channel estimation model for multi-carrier system like orthogonal frequency division multiplexing (OFDM) to attain optimum spectral utilization in a fast random-varying wireless channel. To achieve optimal balance between spectral utilization and maintaining target quality of reception, the estimation process switches between pilot based and non-pilot based estimation techniques depending on temporal correlation between frequency domain channel state information (CSI) of two successive OFDM blocks. This paper also evaluates the performance of proposed model with different correlation measuring techniques. The simulation results show that the proposed estimation model provides the quality close to the pilot based system while the spectrum utilization is as high as non-pilot based estimation technique.


T.Hwang, C.Yang ,G.Wu, S.Li and G.Y.Li, “OFDM and its wireless application: A survey†IEEE trans. on Vech. Techno, vol. 58, no. 4, pp.1673-1693, 2009.

M.K.Ozdermir, H. Arslan, “Channel estimation for wireless OFDM systemsâ€. Common. Surveys. Tuts. vol. 9, pp. 18-48, 2007.

C.Yin, J.Li, X.Hau, G.Yue, “Pilot added LS channel estimation in MIMO-OFDM systemâ€, IEEE International conference on signal processing, Bejing, vol. 3, 2006.

I. Cosovic and G. Auer, “Capacity of MIMO-OFDM with pilot aided channel estimation,†EURASIP Journal on Wireless Commun. and Netw., vol. 2007, Article ID 32460, pp. 1-12, 2007.

P. Tsai, T. Chiueh, “Frequency-domain interpolation-based channel estimation in pilot-added OFDM systems,†IEEE vehicular technology conference, pp. 420-424, 2004.

J.Ran,R Grunheid,H.Rohling,E.Bolinth,R.Kern. “Decision-direct channel estimation method for OFDM system with high velocities,†IEEE vehicular technology conference, 2003.

S. Traverso, M. Ariaudo, I. Fijalkow, Jean-Luc Gautier, and Christian Lereau, “Decision-directed channel estimation and high I/Q imbalance compensation in OFDM receivers†IEEE trans on comm. vol. 57, no. 5, pp.1246-49, 2009.

H.Gacanin,F.Adachi, “Iterative decision-direct estimation and compensation of nonlinear distortion effects for OFDM system.†Wirel.Commun.Mob. Comput., vol. 12, pp.1558-1566, 2011.

S.Kalyani, K.Giridhar,â€Mitigation of error propagation in decision direct OFDM channel tracking using generalized estimator.†IEEE Trans. Signal Process.; vol. 55, no. 5, pp.1659-1672, 2007.

X. Ding,C Hua, W.Xu and A. Huang, “A measurement study of channel dynamics in wireless mesh networkâ€, IEEE International Conf. on wireless communication & signal process, Nanjing, pp 1-5, 2009.

J. Akhtman, L. Hanzo, “Advance Channel Estimation for MIMO-OFDM in realistic channel conditions.†IEEE International Conference on Communications , vol.3, pp. 2528-2533, 2007.

S.Ohono,E Manasseh,M Nakamoto, “How. Many known symbols are required for linear channel estimation in OFDM.†IEEE, International conf. on acoustic, speech and signal process, Prague, pp. 3580-3583, 2011.

Y.S Cho,J .Kim, W. Yang and C.G.Kang.’MIMO-OFDM wireless communications with MATLABâ€,Jhon Wiley SonsPvt ltd., 2010.

H.Abdi, “RV coefï¬cient and Congruence coefï¬cient.†In: Salkind NJ, ed. Encyclopedia of Measurement and Statistics. Thousand Oaks, CA: Sage; 2007c, pp. 849–853, 2007.

G.J.Székely,M.L. Rizzo and N. K. Bakirov, “Measuring and testing independence by correlation of distancesâ€, Annals of Statistics, 35/6, pp. 2769–2794. 2007.




How to Cite

Bandopadhaya, S., & Roy, J. S. (2015). Channel Estimation Model for Multi-carrier System in Fast Random-varying Channel with Optimum Spectral Utilization. Asian Journal of Applied Sciences, 3(3). Retrieved from