Recursive Channel Estimation
Recursive Channel Estimation is a recursive signal processing technique in wireless communications that iteratively updates channel state information by incorporating new observation data into prior estimates, thereby enabling real-time tracking of time-varying channel conditions with reduced computational complexity compared to block-based methods.
54
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2K
Citations
126
Authors
68
Institutions
Publications per year
2017–2026
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LMS estimation via structural detection
J. Homer, Iven Mareels, Robert R. Bitmead et al. · IEEE Transactions on Signal Processing · 1998 · 90 citations
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Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 75 citations
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68

Inha University
Incheon, South Korea
3 h-index
4 publications
86 citations

The University of Melbourne
Melbourne, Australia
3 h-index
7 publications
315 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
9 publications
362 citations
GIPSA-Lab
Grenoble, France
2 h-index
3 publications
38 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
4 publications
204 citations
Harvard University
Cambridge, United States
2 h-index
3 publications
1.2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
3 publications
112 citations
NTT (United States)
East Palo Alto, United States
2 h-index
6 publications
228 citations
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7 publications · 245 citations
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5 publications · 182 citations
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4 publications · 117 citations
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4 publications · 112 citations
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2 publications · 45 citations
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