An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation

In this paper we revisit the minimum mean square error (MMSE) pilot-aided channel estimation for broadband orthogonal frequency division multiplexing (OFDM) systems. The careful design of OFDM symbol leads to the proposal of a simplified time-domain (TD) MMSE estimator. By exploring the Fourier properties of the symbol, the investigated method eliminates the need to use direct or inverse discrete Fourier transforms (DFT/IDFT) before the channel estimation, by using the TD received symbol samples as the input to the MMSE filter. Moreover, performing the estimation in TD (where the channel impulse response (CIR) energy is mainly limit to a small set of samples), makes way to a simple, nonetheless efficient estimation of the filter parameters. The performance of the channel estimation scheme, using the estimated parameters, presents a tolerable degradation when compared with the ideal situation (a-priori knowledge of the channel correlation and noise variance), while exhibiting a reduced computational load. The feasibility of the investigated method is substantiated by system simulation using indoor and outdoor wireless channel models.

[1]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[2]  Hüseyin Arslan,et al.  Delay spread and time dispersion estimation for adaptive OFDM systems , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[3]  Geoffrey Ye Li,et al.  Robust channel estimation for OFDM systems with rapid dispersive fading channels , 1998, IEEE Trans. Commun..

[4]  Zhigang Cao,et al.  Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling , 2001, IEEE Trans. Commun..

[5]  Atílio Gameiro,et al.  Direct Time-Domain Channel Impulse Response Estimation for OFDM-Based Systems , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[6]  Yinyi Lin,et al.  Channel estimation using pilot tones in OFDM systems , 1999 .

[7]  Umberto Spagnolini,et al.  Pilot-based channel estimation for OFDM systems by tracking the delay-subspace , 2004, IEEE Transactions on Wireless Communications.

[8]  Ramjee Prasad,et al.  OFDM for Wireless Multimedia Communications , 1999 .

[9]  Ove Edfors Low-complexity Algorithms in Digital Receivers , 1996 .

[10]  S.K. Wilson,et al.  On channel estimation in OFDM systems , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[11]  Mohamed El-Tanany,et al.  Transmission of High Rate ATM Packets over Indoor Radio Channels , 1996, IEEE J. Sel. Areas Commun..

[12]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[13]  Patrick Robertson,et al.  Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[14]  V. Bhargava,et al.  An investigation into time-domain approach for OFDM channel estimation , 2000, IEEE Trans. Broadcast..

[15]  Li Zi,et al.  An improved channel estimation scheme for OFDM systems by tracking the subspace , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..