This paper derives asymptotic expressions for the expected distortion in the decentralized estimation of a Gaussian source using multiple sensors, as the number of sensors becomes large. We consider a diversity scheme where only the sensor with the best channel sends their measurements to a fusion center, using the analog amplify and fowarding technique. For comparison, asymptotic expressions for a coherent multi-access scheme and an orthogonal access scheme are also derived
In this paper, we consider distributed estimation of an unknown random scalar by using wireless sens...
This paper investigates an optimal energy allocation problemformultisensorestimationofarandomsourcew...
This thesis is concerned with distributed estimation in a wireless sensor network (WSN) with analog ...
This paper derives asymptotic expressions for the expected distortion in the decentralized estimatio...
This paper is concerned with the decentralized estimation of a Gaussian source using multiple sensor...
This paper is concerned with decentralized estimation of a Gaussian source using multiple sensors. W...
Abstract—Distributed estimation based on measurements from multiple wireless sensors is investigated...
Abstract — Distributed estimation based on measurements from multiple wireless sensors is investigat...
In this paper we investigate the distortion outage performance of distributed estimation schemes in ...
In this paper we investigate the distortion outage performance of distributed estimation schemes in ...
abstract: Distributed inference has applications in fields as varied as source localization, evaluat...
Abstract—In this paper, we study a binary decentralized de-tection problem in which a set of sensor ...
Print\ud Request Permissions\ud We consider distributed estimation of a source in additive Gaussian ...
Email\ud Print\ud Request Permissions\ud We consider scaling laws of the outage for distributed esti...
This paper investigates an optimal energy allocation problem for multisensor estimation of a random ...
In this paper, we consider distributed estimation of an unknown random scalar by using wireless sens...
This paper investigates an optimal energy allocation problemformultisensorestimationofarandomsourcew...
This thesis is concerned with distributed estimation in a wireless sensor network (WSN) with analog ...
This paper derives asymptotic expressions for the expected distortion in the decentralized estimatio...
This paper is concerned with the decentralized estimation of a Gaussian source using multiple sensor...
This paper is concerned with decentralized estimation of a Gaussian source using multiple sensors. W...
Abstract—Distributed estimation based on measurements from multiple wireless sensors is investigated...
Abstract — Distributed estimation based on measurements from multiple wireless sensors is investigat...
In this paper we investigate the distortion outage performance of distributed estimation schemes in ...
In this paper we investigate the distortion outage performance of distributed estimation schemes in ...
abstract: Distributed inference has applications in fields as varied as source localization, evaluat...
Abstract—In this paper, we study a binary decentralized de-tection problem in which a set of sensor ...
Print\ud Request Permissions\ud We consider distributed estimation of a source in additive Gaussian ...
Email\ud Print\ud Request Permissions\ud We consider scaling laws of the outage for distributed esti...
This paper investigates an optimal energy allocation problem for multisensor estimation of a random ...
In this paper, we consider distributed estimation of an unknown random scalar by using wireless sens...
This paper investigates an optimal energy allocation problemformultisensorestimationofarandomsourcew...
This thesis is concerned with distributed estimation in a wireless sensor network (WSN) with analog ...