Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation

Ph Loubaton, E. Moulines

Research output: Contribution to journalConference articlepeer-review

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 recently. This is the approach undertaken, among others, by Wang and Poor, who proposed an adaptation of the subspace method originally developed by Moulines et al. for single-input multiple outputs (SIMO) FIR systems, and later extended by Abed-Meraim et al to MIMO-FIR systems. In this contribution, we follow this approach to consider the particular blind forward channel estimation problem, and improve quite significantly the results presented in [16].

Original languageEnglish
Pages (from-to)2543-2546
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: 15 Mar 199919 Mar 1999

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