Mobile location estimation scheme in NLOS environment

IEICE Electronics Express

Hao Chu¹  Yun-Zhou Zhang¹  Cheng-Dong Wu¹  Long Cheng¹ 

[1] School of Information Science and Engineering, Northeastern University

关键词: wireless sensor networks;    non-line of sight;    indoor localization;    Kalman filter;    hypothesis testing;   

DOI  :  10.1587/elex.8.1829

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(5)Cited-By(2)A Kalman-based hypothesis testing (KHT) algorithm is proposed for mobile location estimation in non-line of sight (NLOS) environments. Hypothesis testing is employed to detect whether the environment is NLOS or LOS along with time of arrival (TOA) and received signal strength (RSS) measurements. And then an extended Kalman filter is used to nonlinear estimation. Simulation results show that the Kalman-based hypothesis testing algorithm has higher estimate accuracy in comparison with extended Kalman filter.

【 授权许可】

Unknown