Zero-forcing equalizability of FIR and IIR multichannel systems with and without perfect measurements

We study the linear zero-forcing equalizability of a communication channel. Necessary and sufficient conditions are given in terms of the zeros of the transfer function. Detailed procedures of equalizer design for minimum sensitivity with respect to modeling errors and white noise are also presented. It is found that the worst case effect of channel mismatch on the performance may be modeled as equivalent losses in signal-to-noise ratio.

[1]  T. Kailath,et al.  A least-squares approach to blind channel identification , 1995, IEEE Trans. Signal Process..

[2]  D. Slock.  Blind joint equalization of multiple synchronous mobile users using oversampling and/or multiple antennas , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[3]  Minyue Fu,et al.  Blind system identification and channel equalization of IIR systems without statistical information , 1999, IEEE Trans. Signal Process..

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

[5]  Georgios B. Giannakis,et al.  Blind channel identification and equalization with modulation-induced cyclostationarity , 1998, IEEE Trans. Signal Process..

[6]  Zhi Ding.  Matrix outer-product decomposition method for blind multiple channel identification , 1997, IEEE Trans. Signal Process..

[7]  Dirk T. M. Slock,et al.  Blind fractionally-spaced equalization, perfect-reconstruction filter banks and multichannel linear prediction , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[8]  C. Desoer,et al.  Multivariable Feedback Systems , 1982 .

[9]  Lang Tong,et al.  Blind identification and equalization based on second-order statistics: a time domain approach , 1994, IEEE Trans. Inf. Theory.

[10]  Philippe Loubaton,et al.  Prediction error methods for time-domain blind identification of multichannel FIR filters , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[11]  Eric Moulines,et al.  Subspace methods for the blind identification of multichannel FIR filters , 1995, IEEE Trans. Signal Process..