Premium
Cooperative wireless localization based on weighting for vector‐addition error
Author(s) -
Cui Qimei,
Shi Yulong,
Zhang Xuefei,
Tao Xiaofeng
Publication year - 2016
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2894
Subject(s) - computer science , weighting , ambiguity , network topology , statistic , algorithm , vector projection , position (finance) , node (physics) , topology (electrical circuits) , mathematics , artificial intelligence , computer network , medicine , statistics , structural engineering , finance , combinatorics , engineering , economics , radiology , programming language
Summary Localization error occurrence due to a position ambiguity is a very critical problem in wireless distributed cooperative localization, which may, in turn, affect the reliability of the localization of the whole or a major portion of the network. In this paper, we formulate a two‐dimensional cooperative localization model via graph partition in arbitrary topologies while considering the cooperative node's (or neighbor's) position ambiguity. Based on this model, we establish a robust algorithm, named weighted factor graph (FG)‐based cooperative localization algorithm, by mapping local topologies into the FG and by incorporating the vector‐addition error as the weight. The vector‐addition error includes the measurement error and the neighbor's position ambiguity, simultaneously. The optimal weight is derived theoretically according to the statistic properties of the vector errors and the joint probability density function. Theoretical analysis and numerical results indicate that the proposed algorithm can acquire higher level of accuracy for localization in various topology scenarios in comparison with some typical algorithms. Copyright © 2014 John Wiley & Sons, Ltd.