TY - GEN
T1 - Improvement of Software Defined Radio based RSSI localization with bias reduction
AU - Wei, Junming
AU - Ji, Yiming
AU - Yu, Changbin
N1 - Publisher Copyright:
© IFAC.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Bias
KW - Localization
KW - Path-Loss-Exponent (PLE)
KW - Received Signal Strength Indicator (RSSI)
KW - Software Defined Radio (SDR)
UR - http://www.scopus.com/inward/record.url?scp=84929832176&partnerID=8YFLogxK
U2 - 10.3182/20140824-6-za-1003.01840
DO - 10.3182/20140824-6-za-1003.01840
M3 - Conference contribution
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 7164
EP - 7169
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -