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.
ARIENZO Loredana;
LONGO Maurizio;
2009-10-14
Research Publishing Services
JRC53295
http://www.ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5278455&isYear=2009&count=199&page=5&ResultStart=125,
https://publications.jrc.ec.europa.eu/repository/handle/JRC53295,
10.1109/SSP.2009.5278520,
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