Title :
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
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;
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
DOI :
10.1109/SSP.2009.5278520
