Theoretical Bound of CRLB for Energy Efficient Technique of RSS-Based Factor Graph Geolocation

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Muhammad Reza Kahar Aziz, Heriansyah, Efamaydhona Saputra, Ardiansyah Musa

2018 IOP Conference Series: Earth and Environmental Science Vol. 124 Issue 1 Conference paper Cited by 0 Quartile

Abstract

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. © 2018 Institute of Physics Publishing. All rights reserved.

Affiliations

Electrical Engineering Department, InstitutTeknologi Sumatera, Lampung Selatan, Indonesia; Advanced Network Lab., School of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea