期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 58, 期 3, 页码 1358-1368出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2009.2036036
关键词
Distributed estimation; target localization; sensor network; consensus algorithms
A fully decentralized sensor network, without fusion center, is deployed to estimate the position of a target. Taking advantage of the limited communication range of the nodes, and exploiting their (unknown) location inside the surveyed area, the likelihood profile is approximately reconstructed. A distributed ML-like estimator is, therefore, proposed and its asymptotic performance is investigated analytically, while computer experiments assess the behavior of the estimator in nonasymptotic regimes. The differences between one-and two-dimensional scenarios are also discussed.
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