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• W1735551242 abstract "This paper considers state estimation of linear systems using analog amplify and forwarding with multiple sensors, for both multiple access and orthogonal access schemes. Optimal state estimation can be achieved at the fusion center using a time varying Kalman filter. We show that in many situations, the estimation error covariance decays at a rate of $1/M$ when the number of sensors $M$ is large. We consider optimal allocation of transmission powers that 1) minimizes the sum power usage subject to an error covariance constraint and 2) minimizes the error covariance subject to a sum power constraint. In the case of fading channels with channel state information the optimization problems are solved using a greedy approach, while for fading channels without channel state information but with channel statistics available a sub-optimal linear estimator is derived." @default.
• W1735551242 created "2016-06-24" @default.
• W1735551242 creator A5048388477 @default.
• W1735551242 creator A5057431380 @default.
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• W1735551242 date "2008-03-27" @default.
• W1735551242 modified "2023-09-27" @default.
• W1735551242 title "State Estimation Over Wireless Channels Using Multiple Sensors: Asymptotic Behaviour and Optimal Power Allocation" @default.
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• W1735551242 hasPublicationYear "2008" @default.
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