Comprehensive Comparison and Evaluation of Channel Estimation Methods using Statistical Information Channel in OFDM System

  • Minoo Mosahebi
  • saeed Ghazi-Maghrebi


Radio channel (wireless) including channels that are highly regarded and have been used. These channels are affected by the environment and change. Multipath propagation leads to rapid fluctuations of the phase and amplitude of the signal. In contrast to these channels, using Orthogonal Frequency Division Multiplexing (OFDM) technique is much better and more efficient. In order to access the basic information in the receiver, correct estimation impulse response is the main criterion. The current channel estimation methods can be classified into two categories. The first one is based on the pilots and the second one is not based on using pilot. A channel estimation method, the original channel estimation techniques using statistical information that are very useful and satisfying. This method provides our initial favorable data according to statistical information channel. In this paper presents, several common methods such as Wiener filter, Kalman filter and MMSE for channel estimation in OFDM system are evaluated and compared.   


R. Jain,” Channel Models A Tutorial “, February 21, 2007.

M. Saad Akram, “Pilot-based Channel Estimation in OFDM Systems” 2007.

M.S. Chavan, R.H. Chile and S.R. Sawant,” Multipath Fading Channel Modeling and Performance Comparison of Wireless Channel Models”, International Journal of Electronics and Communication Engineering Number 2 (2011).

G. G. Proakis and Masoud Salehi, Communications Systems Engineering.

I. Pazi A. Supervisor & Examiner Dr. Joakim Jaldén,” Channel estimation in mobile wireless systems”, 2012.

K. J. RAYLIU,” Cooperative Communications and Networking”.” OFDM and Multi-Channel Communication Systems”, Nov 05, 2014

A. M. Khan, Varun Jeoti, M. A. Zakariya,” Improved Pilot–based LS and MMSE Channel Estimation using DFT for DVB-T OFDM Systems”IEEE 2013.

A. Zaier1 and R. Bouallègue,”A Fullper formance Analysis of channels timation methods for time varying ofdm system”, International Journal of Mobile Network Communications & Telematics (IJMNCT) Vol.1, No.2, December 2011.

A. asadi and B. mozafari “channel estimation by Wavelet transform in OFDM system”1392.

Haykin,“ Addaptive Filter”.

V. Singh Chaudhary, Madhu Shandilya, “Channel Equalization using Weiner filter”, International Journal of Scientific Engineering and Technology 1 June. 2013.

Welch and Gary Bishop,” An Introduction to the Kalman Filter”, July 24, 2006.

V,N Upadhyay,” Channel Estimation for OFDM Systems Using Kalman Filter Algorithm”,2008.
How to Cite
Mosahebi, M., & Ghazi-Maghrebi, saeed. (2016). Comprehensive Comparison and Evaluation of Channel Estimation Methods using Statistical Information Channel in OFDM System. Majlesi Journal of Telecommunication Devices, 5(1). Retrieved from