This Wireless communication capabilities enable location-based applications such as management telecommunication work teams and other professional groups in field. The accuracy and reliability localization may be degraded by noise. In order to improve the localization precision is proposed a filtering algorithm that is characterized throw robustness and simplicity for estimation application. The particle filter (PF) algorithm offers a proper solution when the challenges studied are nonlinear or include non Gaussian noise. In this work are analyzed and compared two filtering algorithms: the standard particle filter and the cost reference particle filter, for tracking a mobile device. The results underline the robustness and the reliability of the cost reference particle filter to exemplify the errors which are characteristic in filtering algorithms.
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