Title :
Direct second-order blind equalization of polyphase channels based on a decorrelation criterion
Author :
Papadias, C.B. ; Gesbert, D. ; Paulraj, A.
Author_Institution :
Bell Labs., Lucent Technol., Holmdel, NJ, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
We consider the problem of linear polyphase blind equalization (BE), i.e. we are interested in equalizing the output of a single-input-multiple-output (SIMO) channel, without observing its input. A previous result by Liu and Dong (see IEEE Trans. on Circuits and Systems, vol.44, no.5, 1997) showed that if the sub-channel polynomials are co-prime in the z-domain, then the equalizer output whiteness is necessary and sufficient for the equalization of a white input. Based on this observation, we propose a simple decorrelation criterion for second-order based BE. Due to its second-order nature, this criterion is insensitive to the distance of the input from Gaussianity, hence it achieves BE even for Gaussian or non-Gaussian inputs. Moreover, unlike other second-order techniques, our approach bypasses channel estimation and computes directly the equalizer. By doing so, it avoids the problem of ill-conditioning due to channel order mismatch which is crucial to other techniques. Combined to its good convergence properties, these characteristics make the proposed technique an attractive option for robust polyphase BE, as evidenced by both our analysis and computer simulation results
Keywords :
Gaussian processes; blind equalisers; convergence of numerical methods; decorrelation; polynomials; statistical analysis; telecommunication channels; Gaussian input; SIMO channel; co-prime sub-channel polynomials; computer simulation results; convergence properties; decorrelation criterion; direct second-order blind equalization; linear polyphase blind equalization; nonGaussian input; polyphase channels; second order statistics; single-input-multiple-output channel; white input; z-domain; Blind equalizers; Channel estimation; Convergence; Decorrelation; Gaussian processes; Information systems; Laboratories; Polynomials; Robustness; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.760639