Robust channel estimation for OFDM systems with rapid dispersive fading channels

Orthogonal frequency-division multiplexing (OFDM) modulation is a promising technique for achieving the high bit rates required for a wireless multimedia service. Without channel estimation and tracking, OFDM systems have to use differential phase-shift keying (DPSK), which has a 3-dB signal-to-noise ratio (SNR) loss compared with coherent phase-shift keying (PSK). To improve the performance of OFDM systems by using coherent PSK, we investigate robust channel estimation for OFDM systems. We derive a minimum mean-square-error (MMSE) channel estimator, which makes full use of the time- and frequency-domain correlations of the frequency response of time-varying dispersive fading channels. Since the channel statistics are usually unknown, we also analyze the mismatch of the estimator-to-channel statistics and propose a robust channel estimator that is insensitive to the channel statistics. The robust channel estimator can significantly improve the performance of OFDM systems in a rapid dispersive fading channel.

[1]  Alberto Morello,et al.  CD3-OFDM: a novel demodulation scheme for fixed and mobile receivers , 1996, IEEE Trans. Commun..

[2]  J. Treichler,et al.  A new approach to multipath correction of constant modulus signals , 1983 .

[3]  Leonard J. Cimini,et al.  OFDM with Diversity and Coding for High-Bit-Rate Mobile Data Applications , 1997 .

[4]  Per Ola Börjesson,et al.  OFDM channel estimation by singular value decomposition , 1996, Proceedings of Vehicular Technology Conference - VTC.

[5]  Leonard J. Cimini,et al.  Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing , 1985, IEEE Trans. Commun..

[6]  Irving Kalet,et al.  The multitone channel , 1989, IEEE Trans. Commun..

[7]  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.

[8]  J. Salz Optimum mean-square decision feedback equalization , 1973 .

[9]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..

[10]  Leonard J. Cimini,et al.  OFDM with diversity and coding for advanced cellular Internet services , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[11]  Babak Daneshrad,et al.  Clustered OFDM with transmitter diversity and coding , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[12]  J. H. Winters,et al.  Spatial-temporal equalization for IS-136 TDMA systems with rapid dispersive fading and cochannel interference , 1999 .

[13]  D.H. Jacobson Radio communications , 1998, 1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333).

[14]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[15]  Justin C.-I. Chuang The Effects of Time Delay Spread on Portable Radio Communications Channels with Digital Modulation , 1987, IEEE J. Sel. Areas Commun..

[16]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[17]  S. Weinstein,et al.  Data Transmission by Frequency-Division Multiplexing Using the Discrete Fourier Transform , 1971 .

[18]  R. Morgan Mobile radio communications. , 1982, Hospital engineering.