Algorithms for blind identification of digital communication channels

Blind identification consists of estimating the impulse response of a linear, time-invariant channel used for transmission of digital data by observing the channel output without knowledge of the transmitted symbol sequence. The aim of this paper is twofold. First we compare, in order to assess their applicability to the equalization of digital radio links affected by selective fading, some recently proposed algorithms based on the second-order statistics of the received signal. Further we show how one of these algorithms can be modified to account for correlated noise.

[1]  Sumit Roy,et al.  A new blind time-domain channel identification method based on cyclostationarity , 1994, IEEE Signal Processing Letters.

[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]  Jitendra K. Tugnait,et al.  Fractionally spaced blind equalization of FIR channels under symbol timing offsets , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[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]  William A. Gardner,et al.  A new method of channel identification , 1991, IEEE Trans. Commun..

[6]  R. Rajagopal,et al.  DOA estimation with unknown noise fields: a matrix decomposition method , 1991 .