Subspace-based Channel Estimation
Subspace-Based Channel Estimation is a channel estimation method that exploits the orthogonality between signal and noise subspaces, derived from the eigen-decomposition of the received signal's covariance matrix, to separate and estimate the underlying channel parameters with enhanced resolution and reduced noise sensitivity.
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Christian Berger, Shengli Zhou, James C. Preisig et al. · IEEE Transactions on Signal Processing · 2009 · 776 citations · Full text
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KTH Royal Institute of Technology
Stockholm, Sweden
13 h-index
23 publications
2.3K citations
University of California, Riverside
Riverside, United States
11 h-index
14 publications
405 citations
Stanford University
Stanford, United States
10 h-index
17 publications
1.9K citations

McGill University
Montreal, Canada
9 h-index
17 publications
508 citations
EURECOM
Valbonne, France
7 h-index
11 publications
783 citations

Imperial College London
London, United Kingdom
7 h-index
14 publications
230 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
723 citations
University of Washington
Seattle, United States
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12 publications
1.2K citations
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