Improvement of Software Defined Radio based RSSI localization with bias reduction

Abstract

In this paper, Received Signal Strength Indicator (RSSI) based localization, which attracts many interests because of its simplicity, is investigated. However, the accuracy of RSSI based localization is low because RSSI measurements are easily susceptible to human presence, multi-path effect, fading and even the change of temperature. In order to improve the performance of RSSI based localization, we propose a bias reduction algorithm. Another important contribution of this paper is that, instead of proving the effectiveness of the algorithm through simulation, a RSSI based localization system is developed using reconfigurable Software Defined Radios (SDRs) to verify the algorithm in practice. The results obtained from real-world experiments demonstrate that the proposed bias reduction algorithm can reduce the bias effectively, thus greatly enhancing the localization accuracy of the system.