Research Article
TOA Based Localization Under NLOS in Cognitive Radio Network
@INPROCEEDINGS{10.1007/978-3-319-40352-6_55, author={Dazhi Bao and Hao Zhou and Hao Chen and Shaojie Liu and Yifan Zhang and Zhiyong Feng}, title={TOA Based Localization Under NLOS in Cognitive Radio Network}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={Cognitive radio network LOS identify Time of arrival Location estimation Least square method}, doi={10.1007/978-3-319-40352-6_55} }- Dazhi Bao
Hao Zhou
Hao Chen
Shaojie Liu
Yifan Zhang
Zhiyong Feng
Year: 2016
TOA Based Localization Under NLOS in Cognitive Radio Network
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_55
Abstract
In this paper, we consider cooperative localization of primary users (PU) in a cognitive radio network (CRN) using time-of-arrival (TOA). A two-step none-line-of-sight (NLOS) identification algorithm is proposed for the situation where both NLOS error distribution and channel model are not available. In the first step the TOA measurements are clustered into groups. The groups with a dispersion higher than a predefined threshold are identified as NLOS and discarded. In order to make the threshold more reasonable, Ostu’s method, a threshold selection method for image processing is utilized. The second step is introduced to correct the error of possible surviving NLOS. To increase the accuracy of estimated position when line-of-sight (LOS) paths are limited, we proposed a result reconstruction method. Simulation results show that our algorithm can effectively identify NLOS paths and improve positioning accuracy compared to existing works.