By Topic

Distributed estimation over fading channels using one-bit quantization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Tao Wu ; Oklahoma State University ; Qi Cheng

The problem of distributed estimation of an unknown parameter in noise is considered. Sensor observations are compressed using a one-bit quantizer and then transmitted to a fusion center over fading channels. We propose a mean estimator which requires only the knowledge of the mean of the channel gain and a sign estimator where the signs of the received signals are used for parameter estimation. Our analysis shows that these two estimators are not only computationally efficient, but also achieve comparable performance of maximum likelihood estimation. A robust iterative algorithm is proposed to address the design issue of local quantization thresholds.

Published in:

IEEE Transactions on Wireless Communications  (Volume:8 ,  Issue: 12 )