DocumentCode :
2750332
Title :
Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation
Author :
Loubaton, Ph ; Moulines, E.
Author_Institution :
Lab. Syst. de Commun., Univ. de Marne-la-Vallee, Marne la Vallee, France
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2543
Abstract :
Blind channel estimation for periodic sequence DS-CDMA systems can be cast into the framework of “structured” blind estimation of multi-input/multi-output (MIMO) FIR systems, where the structure is imposed by the user´s signatures. A possible approach to tackle this problem consists in looking for a structured solution to one of the so-called “blind” MIMO-FIR system identification techniques proposed previously. This is the approach undertaken, among others, by Wang and Poor (see IEEE Trans. on Communications, vol.46, no.1, p.92-103, 1998), who proposed an adaptation of the subspace method originally developed by Moulines et al. (see IEEE Trans. on Signal Processing, vol.43, no.2, p.516-25, 1995) for single-input multiple outputs (SIMO) FIR systems, and later extended by Abed-Meraim et al. (see IEEE Trans. on Information Theory, vol.43, no.2, p.499-511, 1997) to MIMO-FIR systems. In this article, we follow this approach to consider the particular blind forward channel estimation problem, and improve quite significantly the results presented by Wang and Poor
Keywords :
MIMO systems; code division multiple access; land mobile radio; multiuser channels; parameter estimation; prediction theory; radio links; spread spectrum communication; statistical analysis; MIMO FIR systems; MIMO identification methods; blind CDMA forward link channel estimation; blind second order statistics; linear prediction; multi-input/multi-output FIR systems; periodic sequence DS-CDMA systems; structured blind estimation; subspace method; user signatures; Blind equalizers; Channel estimation; Finite impulse response filter; Information theory; MIMO; Multiaccess communication; Periodic structures; Signal processing; Statistics; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.760649
Filename :
760649
Link To Document :
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