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dc.contributor.authorHua, Y.
dc.contributor.authorAn, Senjian
dc.contributor.authorXiang, Y.
dc.identifier.citationHua, Yingbo and An, Senjian and Xiang, Yong. 2003. Blind identification of FIR MIMO channels by decorrelating subchannels. IEEE Transactions on Signal Processing. 51 (5): pp. 1143-1155.

We study blind identification and equalization of finite impulse response (FIR) and multi-input and multi-output (MIMO) channels driven by colored signals. We first show a sufficient condition for an FIR MIMO channel to be identifiable up to a scaling and permutation using the second-order statistics of the channel output. This condition is that the channel matrix is irreducible (but not necessarily column-reduced), and the input signals are mutually uncorrelated and of distinct power spectra. We also show that this condition is necessary in the sense that no single part of the condition can be further weakened without another part being strengthened. While the above condition is a strong result that sets a fundamental limit of blind identification, there does not yet exist a working algorithm under that condition. In the second part of this paper, we show that a method called blind identification via decorrelating subchannels (BIDS) can uniquely identify an FIR MIMO channel if a) the channel matrix is nonsingular (almost everywhere) and column-wise coprime and (b) the input signals are mutually uncorrelated and of sufficiently diverse power spectra. The BIDS method requires a weaker condition on the channel matrix than that required by most existing methods for the same problem.

dc.publisherIEEE Signal Processing Society
dc.subjectAdaptive signal processing
dc.subjectblind channel deconvolution
dc.subjectcolored sources
dc.subjectsensor array processing
dc.subjectblind system identification
dc.subjectMIMO channels
dc.titleBlind identification of FIR MIMO channels by decorrelating subchannels
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Signal Processing

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curtin.accessStatusOpen access
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering

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