Title :
A Novel NLOS Localization Method Based on Tabu Search
Author :
Long Cheng ; Chengdong Wu ; Hao Wu ; Li Chen
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The indoor localization method based on wireless sensor network is attractive, the problems concerning how to identify the signal propagation state in the complex indoor environment and how to mitigate the NLOS error are challenging. In this paper, we propose a novel NLOS localization method based on Tabu search. We firstly identify the propagation state based on Kalman frame. Then a Tabu search method is employed to mitigate the NLOS error. In comparison with the Kalman and robust Kalman method, simulation results show that the proposed method has higher localization accuracy.
Keywords :
Kalman filters; indoor radio; search problems; wireless sensor networks; NLOS error mitigation; NLOS localization method; complex indoor environment; indoor localization method; localization accuracy; robust Kalman method; signal propagation state identification; tabu search; wireless sensor network; Indoor environments; Kalman filters; Measurement uncertainty; Noise; Noise measurement; Standards; Wireless sensor networks; Kalman filter; NLOS; Tabu search; localization; wireless sensor network;
Conference_Titel :
High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
Conference_Location :
Zhangjiajie
DOI :
10.1109/HPCC.and.EUC.2013.53
