2018
DOI: 10.1016/j.ifacol.2018.07.083
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Distributed Consensus Cubature Information fusion in Saturated Inertial Sensors Network

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Cited by 1 publication
(2 citation statements)
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“…For any sensing information sampling point (x, y) in the area, the expectation c and the variance σ 2 are consistent [17,18]. For any sensing information sampling point, formulas (7) and ( 8) can be obtained:…”
Section: Sensing Information Kriging Interpolationmentioning
confidence: 99%
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“…For any sensing information sampling point (x, y) in the area, the expectation c and the variance σ 2 are consistent [17,18]. For any sensing information sampling point, formulas (7) and ( 8) can be obtained:…”
Section: Sensing Information Kriging Interpolationmentioning
confidence: 99%
“…However, it did not improve the efficiency and reliability of sensing in Rayleigh fading environments. Benzerouk et al proposed a new consensus-based approach to the Cuature Kalman filtering problem for inertial sensor networks with gyroscope and accelerometer saturation [7]. However, the experimental results do not demonstrate the superiority of the CKF-based consensus over the previously proposed consensus-based unscented Kalman filter.…”
Section: Introductionmentioning
confidence: 99%