Distributed estimation over parallel fading channels with channel estimation error

Loading...
Thumbnail Image

Date

2008

Authors

Şenol, Habib
Tepedelenlioğlu, Cihan

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

Abstract

We consider distributed estimation of a source observed by sensors in additive Gaussian noise where the sensors are connected to a fusion center with unknown orthogonal (parallel) flat Rayleigh fading channels. We adopt a two-phase approach of (i) channel estimation with training and (ii) source estimation given the channel estimates where the total power is fixed. We prove that allocating half the total power into training is optimal and show that compared to the perfect channel case a performance loss of at least 6 dB is incurred. In addition we show that unlike the perfect channel case increasing the number of sensors will lead to an eventual degradation in performance. We characterize the optimum number of sensors as a function of the total power and noise statistics. Simulations corroborate our analytical findings.

Description

Keywords

Sensor networks, Distributed estimation, Fading channels, Channel estimation

Turkish CoHE Thesis Center URL

Fields of Science

Citation

1

WoS Q

N/A

Scopus Q

N/A

Source

Volume

Issue

Start Page

3305

End Page

+