Maximum Likelihood Localization
Maximum Likelihood Localization is a model-based acoustic localization method that estimates the source position by maximizing the likelihood function derived from the statistical properties of observed acoustic signals, distinguishing itself from other estimators by its reliance on probabilistic inference under assumed noise models.
277
Publications
18K
Citations
649
Authors
282
Institutions
Publications per year
2017–2026
68
Parents
277
A simple and efficient estimator for hyperbolic location
Y.T. Chan, K. C. Ho · IEEE Transactions on Signal Processing · 1994 · 2.5K citations
Engineering, Radiology, Antennas +12
1–5 of 277
649
8
h-index
8
h-index
6
h-index
6
h-index
6
h-index
1–5 of 649
282

Tel Aviv University
Tel Aviv, Israel
11 h-index
22 publications
1.9K citations
University of California, Los Angeles
Los Angeles, United States
9 h-index
29 publications
2.3K citations
University of Missouri
Columbia, United States
8 h-index
14 publications
1.3K citations
University of Connecticut
Storrs, United States
7 h-index
19 publications
836 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
353 citations

Rafael Advanced Defense Systems (Israel)
Haifa, Israel
5 h-index
9 publications
2.9K citations

Royal Military College of Canada
Kingston, Canada
5 h-index
10 publications
5.5K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
9 publications
461 citations
1–8 of 282
30 publications · 6K citations
25
h-index
14 publications · 1.1K citations
14
h-index
JASA · 10 publications · 320 citations
10
h-index
9 publications · 287 citations
9
h-index
8 publications · 596 citations
8
h-index
1–5