Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 22, Issue 11, Pages 1965-1969Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2015.2448601
Keywords
Asynchronous measurements; data fusion; distributed particle filter; distributed state estimation; target tracking; wireless sensor network
Categories
Funding
- FWF [S10603, P27370]
- NSF [CCF-1320626, ECCS-1346854, CNS-1354614]
- Austrian Science Fund (FWF) [P27370] Funding Source: Austrian Science Fund (FWF)
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We propose a distributed sequential estimation scheme for wireless sensor networks with asynchronous measurements. Our scheme combines the prediction and update steps of a Bayesian filter (for time alignment and recursive state estimation) with a fusion rule (for intersensor fusion using local communication). We also propose a reduced-complexity implementation using particle filtering and Gaussian mixture approximations, and an estimator of the delays resulting from processing and communication. Simulations for a target tracking problem demonstrate the good performance of our scheme.
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