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A sensor network is used for distributed SNR estimation. Sensors observe a signal embedded in noise. These observations are phase modulated using a constant-modulus scheme and transmitted over a Gaussian multiple-access channel to a fusion center. At the fusion center, the location parameter and scale parameter are estimated using a minimum-variance estimator as well as computationally simple alternatives...
We analyze the outage for distributed estimation over orthogonal fading channels as a function of the number of sensors, K. We consider a scenario of fixed power per-sensor with an asymptotically large number of sensors. We characterize the scaling law of the outage and show that the outage decays faster than exponentially in the number of sensors and slower than exp(-K log K).
In this paper we study the outage diversity in distributed estimation over parallel fading channels.We find tight upper and lower bounds on the diversity order and show that they are arbitrarily close under certain conditions. Our results show that the diversity order does not always equal to the number of sensors, but also depends on sensing quality of the sensors.
We study distributed estimation of a source corrupted by an additive Gaussian noise and observed by sensors which are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. The fading communication channels are estimated with training. Subsequently, source estimation given the channel estimates and transmitted sensor observations is performed. We consider a...
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