In the paper, we consider the computation of the posterior Cramér-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.
Loredana Arienzo, Maurizio Longo (2009). Posterior Cramér-Rao bound for range-based target tracking in sensor networks. New York : 2009 IEEE Conference Proceedings [10.1109/SSP.2009.5278520].
Posterior Cramér-Rao bound for range-based target tracking in sensor networks
ARIENZO, LOREDANA;
2009
Abstract
In the paper, we consider the computation of the posterior Cramér-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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
