Multiple source location estimation using the EM Algorithm
Date
1986-07Metadata
Show full item recordCitable URI
https://hdl.handle.net/1912/1740DOI
10.1575/1912/1740Keyword
Estimation theory; Signal processingAbstract
We present a computationally efficient scheme for multiple source location estimation based on the EM Algorithm. The proposed scheme is optimal in the sense that it converges iteratively to the exact Maximum Likelihood estimate for all the unknown parameters simultaneously. The method can be applied to a wide range of problems arising in signal and array processing.
Collections
Suggested Citation
Technical Report: Weinstein, Ehud, Feder, Meir, "Multiple source location estimation using the EM Algorithm", 1986-07, DOI:10.1575/1912/1740, https://hdl.handle.net/1912/1740Related items
Showing items related by title, author, creator and subject.
-
Performance bounds on matched-field methods for source localization and estimation of ocean environmental parameters
(Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2001-06)Matched-field methods concern estimation of source location and/or ocean environmental parameters by exploiting full wave modeling of acoustic waveguide propagation. Typical estimation performance demonstrates two ... -
Multipath time-delay estimation via the EM algorithm
(Woods Hole Oceanographic Institution, 1987-01)We consider the application of the EM algorithm to the multipath time delay estimation problem. The algorithm is developed for the case of deterministic (known) signals, as well as for the case of wide-sense stationary ... -
Estimated annual economic impacts from harmful algal blooms (HABs) in the United States
(Woods Hole Oceanographic Institution, 2000-09)Blooms of toxic or harmful microalgae, commonly called "red tides," represent a significant and expanding threat to human health and fisheries resources throughout the United States and the world. Ecological, aesthetic, ...
