7th International Conference on Communications and Networking in China

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
Qimei Cui1, Yulong Shi1,*, Xuefei Zhang1, Xiaoxuan Zhu2
  • 1: Beijing University of Posts and Telecommunications
  • 2: China Science and Technology Exchange Center
*Contact email: 08211041@bjtu.edu.cn

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.