Blind noise and channel estimation

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations


In the classical methods for blind channel identification (Subspace method, TXK, XBM) [1, 2, 3], the additive noise is assumed to be spatially white or known to within a multiplicative scalar. When the noise is non-white (colored or correlated) but has a known covariance matrix, we can still handle the problem through prewhitening. However, there are no techniques presently available to deal with completely unknown noise fields. It is well known that when the noise covariance matrix is unknown, the channel parameters may be grossly inaccurate. In this paper, we assume the noise spatially correlated, and we apply this assumption for blind channel identification. We estimate the noise covariance matrix without any assumption except its structure which is assumed to be a band-Toeplitz matrix. The performance evaluation of the developed method and its comparison to the modified subspace approach (MSS) [4] are presented.

Original languageEnglish
Number of pages5
StatePublished - 2000
EventProceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA
Duration: 14 Aug 200016 Aug 2000


ConferenceProceedings of the 10th IEEE Workshop on Statiscal and Array Processing
CityPennsylvania, PA, USA


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