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dc.contributor.authorChen, Yi-Shengen_US
dc.contributor.authorWu, Jwo-Yuhen_US
dc.date.accessioned2014-12-08T15:24:28Z-
dc.date.available2014-12-08T15:24:28Z-
dc.date.issued2012en_US
dc.identifier.issn1687-6180en_US
dc.identifier.urihttp://hdl.handle.net/11536/16973-
dc.identifier.urihttp://dx.doi.org/10.1186/1687-6180-2012-139en_US
dc.description.abstractWe propose a statistical covariance-matching based blind channel estimation scheme for zero-padding (ZP) multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems. By exploiting the block Toeplitz channel matrix structure, it is shown that the linear equations relating the entries of the received covariance matrix and the outer product of the MIMO channel matrix taps can be rearranged into a set of decoupled groups. The decoupled nature reduces computations, and more importantly guarantees unique recovery of the channel matrix outer product under a quite mild condition. Then the channel impulse response matrix is identified, up to a Hermitian matrix ambiguity, through an eigen-decomposition of the outer product matrix. Simulation results are used to evidence the advantages of the proposed method over a recently reported subspace algorithm applicable to the ZP-based MIMO-OFDM scheme.en_US
dc.language.isoen_USen_US
dc.subjectBlind channel estimationen_US
dc.subjectZero paddingen_US
dc.subjectMIMO-OFDMen_US
dc.titleStatistical covariance-matching based blind channel estimation for zero-padding MIMO-OFDM systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/1687-6180-2012-139en_US
dc.identifier.journalEURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSINGen_US
dc.citation.spage1en_US
dc.citation.epage9en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000308652900001-
dc.citation.woscount1-
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