Distributed estimation of a parametric field with random sensor placements

Marwan Alkhweldi; Zhicheng Cao; Natalia A. Schmid

doi:10.1117/12.2177277

22 May 2015 Distributed estimation of a parametric field with random sensor placements

Marwan Alkhweldi, Zhicheng Cao, Natalia A. Schmid

Proceedings Volume 9476, Automatic Target Recognition XXV; 94760R (2015) https://doi.org/10.1117/12.2177277
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

This paper considers a problem of distributed function estimation in the case when sensor locations are modeled as Gaussian random variables. We consider a scenario where sensors are deployed in clusters with cluster centers known a priori (or estimated by a high performance GPS) and the average quadratic spread of sensors around the cluster center also known. Distributed sensors make noisy observations about an unknown parametric field generated by a physical object of interest (for example, magnetic field generated by a ferrous object and sensed by a network of magnetometers). Each sensor then performs local signal processing of its noisy observation and sends it to a central processor (called fusion center) in the wireless sensor network over parallel channels corrupted by fading and additive noise. The central processor combines the set of received signals to form an estimate of the unknown parametric field. In our numerical analysis, we involve a field shaped as a Gaussian bell. We experiment with the size of sensor clusters and with their number. A mean square error between the estimated parameters of the field and the true parameters used in simulations is involved as a performance measure. It can be shown that a relatively good estimate of the field can be obtained with only a small number of clusters. As the number of clusters increases, the estimation performance steadily improves. The results also indicate that, on the average, the number of clusters has more impact on the performance than the number of sensors per cluster, given the same size of the total network.

Citation Download Citation

Marwan Alkhweldi, Zhicheng Cao, and Natalia A. Schmid "Distributed estimation of a parametric field with random sensor placements", Proc. SPIE 9476, Automatic Target Recognition XXV, 94760R (22 May 2015); https://doi.org/10.1117/12.2177277

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Sensor networks

Signal processing

Error analysis

Interference (communication)

Signal to noise ratio

Algorithm development

Show All Keywords

Keywords/Phrases

Search In:

Publication Years