Blind equalization of fading channels

Two blind equalization schemes using an antenna array are proposed for multipath fading channels. The methods exploit second-order statistics and spatial diversity to provide fast convergence rate and better performance in low SNRs. A special orthogonalization technique is used in conjunction with the Viterbi algorithm to achieve optimal sequence detection without channel identification. The proposed approach also has a special structure particularly suitable for time varying channels.<<ETX>>

[1]  Benjamin Friedlander,et al.  Blind equalization of digital communication channels using high-order moments , 1991, IEEE Trans. Signal Process..

[2]  Lang Tong,et al.  Blind identification and equalization of multipath channels , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.

[3]  Lang Tong,et al.  Fast blind equalization via antenna arrays , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Lang Tong,et al.  A new approach to blind identification and equalization of multipath channels , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

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

[6]  John G. Proakis,et al.  Adaptive maximum-likelihood sequence estimation for digital signaling in the presence of intersymbol interference (Corresp.) , 1973, IEEE Trans. Inf. Theory.

[7]  Chrysostomos L. Nikias,et al.  Estimation of multipath channel response in frequency selective channels , 1989, IEEE J. Sel. Areas Commun..

[8]  D.J. Goodman,et al.  Trends in cellular and cordless communications , 1991, IEEE Communications Magazine.

[9]  G. Ungerboeck,et al.  Adaptive Maximum-Likelihood Receiver for Carrier-Modulated Data-Transmission Systems , 1974, IEEE Trans. Commun..

[10]  Jack Salz,et al.  Optimum diversity combining and equalization in digital data transmission with applications to cellular mobile radio. I. Theoretical considerations , 1992, IEEE Trans. Commun..

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

[12]  N. Seshadri,et al.  Joint data and channel estimation using fast blind trellis search techniques , 1990, [Proceedings] GLOBECOM '90: IEEE Global Telecommunications Conference and Exhibition.

[13]  Y. Sato,et al.  A Method of Self-Recovering Equalization for Multilevel Amplitude-Modulation Systems , 1975, IEEE Trans. Commun..

[14]  G. David Forney,et al.  Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference , 1972, IEEE Trans. Inf. Theory.

[15]  John G. Proakis,et al.  A 'quantized' channel approach to blind equalization , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.