On Kalman Smoothing for Wireless Sensor Networks Systems with Multiplicative Noises
The paper deals with Kalman (or H2) smoothing problem for wireless sensor networks (WSNs) with multiplicative noises. Packet loss occurs in the observation equations, and multiplicative noises occur both in the system state equation and the observation equations. The Kalman smoothers which include...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/717504 |
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| Summary: | The paper deals with Kalman (or H2) smoothing problem for wireless sensor networks
(WSNs) with multiplicative noises. Packet loss occurs in the observation equations,
and multiplicative noises occur both in the system state equation and the observation equations.
The Kalman smoothers which include Kalman fixed-interval smoother, Kalman fixedlag
smoother, and Kalman fixed-point smoother are given by solving Riccati equations and
Lyapunov equations based on the projection theorem and innovation analysis. An example
is also presented to ensure the efficiency of the approach. Furthermore, the proposed three
Kalman smoothers are compared. |
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| ISSN: | 1110-757X 1687-0042 |