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Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1317272
Description: This paper investigates an optimal energy allocation problem for multi sensor estimation of a random source where sensors communicate their measurements to a remote fusion centre (FC) over orthogonal ... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1315559
Description: We consider a remote state estimation problem, where a sensor transmits local state estimates over an independent and identically distributed (i.i.d.) packet dropping link to a remote estimator. At ea... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/1296969
Description: This paper presents a novel design methodology for optimal transmission policies at a smart sensor to remotely estimate the state of a stable linear stochastic dynamical system. The sensor makes measu... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1294490
Description: We study remote estimation in a wireless sensor network. Instead of using a conventional battery-powered sensor, a sensor equipped with an energy harvester which can obtain energy from the external en... More
Reviewed: Reviewed
Date: 2012
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.13/933827
Description: We study stochastic stability of centralized Kalmanfiltering for linear time-varying systems equipped with wireless sensors. Transmission is over fading channels where variable channel gains are count... More
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Reviewed: Reviewed
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Date: 2011
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/920833
Description: We study stochastic stability for Kalman filtering over fading wireless channels where variable channel gains are counteracted by the use of power control to alleviate the effects of packet drops. The... More
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Reviewed: Reviewed
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