Name
Title | ||
|---|---|---|
Robust estimation of spatial fields with compressed observations and imperfect phase estimation in M2M capillary networks |
Abstract | ||
|---|---|---|
In this paper, we focus on the use capillary M2M (Machine-to-Machine) networks for the estimation of spatial random fields. The observations (samples) collected by the sensors are spatially correlated and, for this reason, we propose a distributed pre-coding scheme based on the Karhunen-Loève (KL) transform. This allows us to obtain an over-the-air compressed representation of such set of observations. In this context, we derive a closed-form expression of the optimal power allocation strategy which is robust to residual phase synchronization errors and minimizes the estimation error for a given power constraint. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CIP.2012.6232928 | CIP |
Keywords | Field | DocType |
karhunen-loeve transforms,phase estimation,radio networks,kl transform,karhunen-loève transform,m2m capillary networks,compressed observations,distributed precoding scheme,imperfect phase estimation,machine-to-machine networks,optimal power allocation,residual phase synchronization errors,robust estimation,spatial fields,resource manager,random variable,random variables,synchronization,random field,robustness,phase synchronization,resource management,sensors,spatial correlation,robust estimator | Resource management,Residual,Random variable,Synchronization,Mathematical optimization,Imperfect,Random field,Computer science,Phase synchronization,Robustness (computer science) | Conference |
ISBN | Citations | PageRank |
978-1-4673-1877-8 | 0 | 0.34 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matamoros, J. | 1 | 0 | 0.34 |
| Anton-Haro, C. | 2 | 25 | 2.82 |