Posterior Cramér-Rao bound for range-based target tracking in sensor networks

Author

Arienzo, Loredana ; Longo, Maurizio

Author_Institution

Security Technol. Assessment, Eur. Comm. Joint Res. Center, Ispra, Italy

fYear

2009

Firstpage

541

Lastpage

544

Abstract

In the paper, we consider the computation of the posterior Cramer-Rao bound in a problem of target tracking based on received signal strength measurements. This is a theoretical lower bound on the estimation error while assessing the performance of any kind of estimation algorithm. Here the method is applied to a nonlinear filtering problem of tracking a node in wireless sensor networks. Specifically the bound is computed against the root mean square error of two nonlinear filters: bootstrap and unscented particle filter.

Keywords

mean square error methods; nonlinear filters; target tracking; wireless sensor networks; bootstrap filter; nonlinear filtering problem; posterior Cramer-Rao bound; range-based target tracking; received signal strength measurements; root mean square error; unscented particle filter; wireless sensor networks; Computer networks; Estimation error; Filtering; Nonlinear dynamical systems; Particle filters; Root mean square; Sensor phenomena and characterization; State estimation; Target tracking; Wireless sensor networks; Cramér-Rao; nonlinear filtering; sensor networks; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on

Conference_Location

Cardiff

Print_ISBN

978-1-4244-2709-3

Electronic_ISBN

978-1-4244-2711-6

Type

conf

DOI

10.1109/SSP.2009.5278520

Filename

5278520