Detection of Gaussian signals via hexagonal sensor networks

Details Detection of Gaussian signals via hexagonal sensor networks Detection of Gaussian signals via hexagonal sensor networks

2009-02-14

arxiv.org/abs/0902.2446v4

Mathematics

Optimization and Control

16 pages, 4 figures. Accepted. v1-current: corrected typos, added clarifications, updated and added references, extended intro

Scientific paper

This paper considers a special case of the problem of identifying a static scalar signal, depending on the location, using a planar network of sensors in a distributed fashion. Motivated by the application to monitoring wild-fires spreading and pollutants dispersion, we assume the signal to be Gaussian in space. Using a network of sensors positioned to form a regular hexagonal tessellation, we prove that each node can estimate the parameters of the Gaussian from local measurements. Moreover, we study the sensitivity of these estimates to additive errors affecting the measurements. Finally, we show how a consensus algorithm can be designed to fuse the local estimates into a shared global estimate, effectively compensating the measurement errors.

Affiliated with

Also associated with

No associations

Rating

Detection of Gaussian signals via hexagonal sensor networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Detection of Gaussian signals via hexagonal sensor networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detection of Gaussian signals via hexagonal sensor networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-55233