Theoretical Bound of CRLB for Energy Efficient Technique of RSS-Based Factor Graph Geolocation
To support the increase of wireless geolocation development as the key of the
technology in the future, this paper proposes theoretical bound derivation, i.e., Cramer Rao
lower bound (CRLB) for energy efficient of received signal strength (RSS)-based factor graph
wireless geolocation technique. The theoretical bound derivation is crucially important to
evaluate whether the energy efficient technique of RSS-based factor graph wireless geolocation
is effective as well as to open the opportunity to further innovation of the technique. The
CRLB is derived in this paper by using the Fisher information matrix (FIM) of the main
formula of the RSS-based factor graph geolocation technique, which is lied on the Jacobian
matrix. The simulation result shows that the derived CRLB has the highest accuracy as a bound
shown by its lowest root mean squared error (RMSE) curve compared to the RMSE curve of
the RSS-based factor graph geolocation technique. Hence, the derived CRLB becomes the
lower bound for the efficient technique of RSS-based factor graph wireless geolocation.
URI
https://repo.itera.ac.id/depan/submission/SB1805220003
Keyword