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- W1490486566 abstract "In this work, we propose a generalized framework for designing optimal sensor constellations for spatio-temporally correlated field estimation using wireless sensor networks. The accuracy of the field intensity estimate in every point of a given service area strongly depends upon the number and the constellation of the sensors along with the spatio-temporal statistics of the field. We formulate and solve a sparsity-enforcing optimization problem to select the best sensor locations that achieve some desired estimation performance. The sparsity-enforcing iterative selection algorithm is aware of the non-separable space-time covariance structure of the field." @default.
- W1490486566 created "2016-06-24" @default.
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- W1490486566 date "2015-04-01" @default.
- W1490486566 modified "2023-09-26" @default.
- W1490486566 title "Correlation-aware sparsity-enforcing sensor placement for spatio-temporal field estimation" @default.
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- W1490486566 doi "https://doi.org/10.1109/icassp.2015.7178399" @default.
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