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2007

Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties

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Suboptimal Filter for Multisensor Linear Discrete-Time Systems with Observation Uncertainties
The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The basis of the proposed algorithm is the fusion formula for an arbitrary number of local Kalman filters. The proposed suboptimal filter fuses each local Kalman filter by weighted sum with scalar weights. This filter can be implemented in real time because the scalar weights do not depend on current observations in distinction to the optimal adaptive filter. The examples given, demonstrate the effectiveness and high precision of proposed filter. IndexTerms-Linear discrete-time system, multisensor, Kalman filter, fusion formula
Tyagi Deepak, Vladimir Shin
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 2007
Where WCE
Authors Tyagi Deepak, Vladimir Shin
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