We explore the identifiability conditions for blind and semi-blind multiuser multichannel identification. Starting with the determin-istic approach, we compare the identifiability conditions on the channel and the sources of training sequence based channel iden-tification, blind and semi-blind channel identification. Further on, we use the stochastic approach with Gaussian priors for the source symbols and do the same derivations. Comparison between the approaches lead to the conclusion that the latter yields less im-two restricting conditions and, moreover, that the conditions are suffi-cient for any stochastic approach.
Identifiability conditions for blind and semi-blind multiuser multichannel identification
SSAP 1998, 9th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, 14-16 September 1998, Portland, USA
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