DocumentCode :
3325333
Title :
Blind second-order identification of FIR channels: forced cyclo-stationarity and structured subspace method
Author :
Chevreuil, A. ; Loubaton, Ph
Author_Institution :
Dept. Signal, Telecom Paris, France
fYear :
1997
fDate :
16-18 April 1997
Firstpage :
121
Lastpage :
124
Abstract :
As regard to their inherent severe drawbacks (namely ill-conditioning and sometimes over-modeling problems), the blind second-order equalization schemes need refinements for them to be tractable in realistic contexts. We propose to force cyclo-stationarity at the emission: this statistical property remains for the observation process and gives rise to a spectral factorization problem exhibiting a symmetry. This is solved via a structured subspace method yielding a unique solution. In other words, the symmetry implies that the identification of the unknown channel (supposed to be causal FIR and scalar-valued, i.e. single sensor/sampling at the symbol period) may be achieved consistently-whenever the order is over-determined and without any constraint on the position of the zeros of this channel.
Keywords :
FIR filters; equalisers; identification; statistical analysis; FIR channels; blind second-order identification; forced cyclo-stationarity; ill-conditioning; over-modeling; spectral factorization problem; statistical property; structured subspace method; symbol period; symmetry; zeros; Blind equalizers; Digital filters; Finite impulse response filter; Interference; Matched filters; Multi-stage noise shaping; Narrowband; Nonlinear filters; Pulse shaping methods; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
Conference_Location :
Paris, France
Print_ISBN :
0-7803-3944-4
Type :
conf
DOI :
10.1109/SPAWC.1997.630166
Filename :
630166
Link To Document :
بازگشت