Semiblind multiuser MIMO channel estimation using capon and MUSIC techniques

Shahram Shahbazpanahi, Alex B. Gershman, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


Channel state information (CSI) is required at the receiver side of multiple-input multiple-output (MIMO) systems for decoding space-time codes. In this paper, new semiblind techniques are developed to jointly estimate the receiver CSI of multiple multiantenna transmitters that use orthogonal space-time block codes (OSTBCs). The proposed techniques are based on the extension of the concepts of the popular Capon and MUSIC spectral estimators to the problem of multiuser channel estimation. Our methods blindly estimate the subspace that contains the user channel matrices, and then use only a few training symbol blocks to extract the user CSI from this subspace. It is demonstrated that, in addition to improving the bandwidth efficiency, the proposed techniques offer better channel estimation accuracy as compared with the standard (nonblind) least-squares (LS) channel estimation method. Moreover, it is shown that using the proposed Capon- and MUSIC-based semiblind channel estimators along with the coherent maximum-likelihood (ML) or the minimum-variance (MV) multiuser MIMO receivers results in a substantially better performance as compared with the case when the standard LS channel estimates are used.

Original languageEnglish (US)
Pages (from-to)3581-3591
Number of pages11
JournalIEEE Transactions on Signal Processing
Issue number9
StatePublished - Sep 2006

Bibliographical note

Funding Information:
Manuscript received December 25, 2004; revised September 7, 2005. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Daniel Fuhrman. This work was supported is part by the Wolfgang Paul Award Program of the Alexander von Humboldt Foundation (Germany) and German Ministry of Education and Research; Premier’s Research Excellence Award Program of the Ministry of Energy, Science, and Technology (MEST) of Ontario; Natural Sciences and Engineering Research Council (NSERC) of Canada; Communication and Information Technology Ontario (CITO); and National Science Foundation (NSF) Grant No. CCF-0515032. The results of this paper were presented it part at the IEEE Sensor Array and Multichannel Signal Processing Workshop, Sitges, Spain, June 2004.


  • Capon and MUSIC techniques
  • Multiuser multiple-input multiple-output (MIMO) receivers
  • Semiblind MIMO channel estimation


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