Research Article
Cooperative Group Localization Based on Weighted Factor Graphs
@INPROCEEDINGS{10.1109/ChinaCom.2012.6417522, author={Qimei Cui and Yulong Shi and Xuefei Zhang and Xiaoxuan Zhu}, title={Cooperative Group Localization Based on Weighted Factor Graphs}, proceedings={7th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2012}, month={10}, keywords={cooperative group localization factor graphs}, doi={10.1109/ChinaCom.2012.6417522} }- Qimei Cui
Yulong Shi
Xuefei Zhang
Xiaoxuan Zhu
Year: 2012
Cooperative Group Localization Based on Weighted Factor Graphs
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2012.6417522
Abstract
Abstract--- Multiple-target localization in ill conditions is very important in wireless location for next-generation wireless networks. The cooperative group localization (CGL) has indicated the effectiveness on performance gain and simultaneous multiple-target localization for the ill-conditioned localization problem. However, two inherent difficulties exist in the CGL: the strict demand for CGL topology and the high complexity. In order to solve the above rub, we propose a novel weighted factor graph CGL algorithm by formulating the location problem into the factor graph (FG) framework. Belief information is iteratively passed in node-FG and inter-FG to realize the proposed algorithm. Simulation results show that the proposed algorithm not only achieves high accuracy, but also enjoys low complexity in ill conditions.
