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Algorithm 1. DHIWCF implemented by node at time instant . |
| 1. Obtain the local measurement with covariance matrix . |
| 2. Compute the measurement contribution vector and contribution matrix.
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| 3. Broadcast state message to its neighboring nodes . |
| 4. Receive state message from its neighboring nodes . |
| 5. Compute the initial values.
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6. Perform consensus. for
do
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(1)
Send and to its neighbors ;
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(2)
Receive and from its neighbors ;
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(3)
Update its consensus state.
end for
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| 7. Compute the posterior estimate. |
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, ,
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| 8. Prediction at time instant
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, ,
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