Robust localisation algorithm for solving neighbour position ambiguity. Issue 17 (1st August 2013)

• Record Type: Journal Article
• Authors: Zhang, Xuefei; Cui, Qimei; Shi, Yulong; Tao, Xiaofeng
• Is Part Of: Electronics letters. Volume 49:Issue 17(2013)
• Page Start: 1106
• Page End: 1107
• Publication Date: 2013-08-01
• Subjects: approximation theory -- Bayes methods -- convergence -- sensitivity -- sensor placement; robust localisation algorithm -- neighbour position ambiguity -- tangent linear approximation -- nonlinear localisation model -- sensitivity -- localisation error -- wireless localisation -- BP localisation -- belief propagation localisation -- numerical analysis -- TLA‐BP algorithm -- convergence probability -- wireless sensor network; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.1729
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Localisation error due to sensitivity to position ambiguity, with respect to some neighbouring nodes, is a major problem in wireless localisation. To solve this problem, the tangent linear approximation (TLA) for the nonlinear localisation model is derived, contributing to incorporating the effect of the neighbours' position ambiguity into belief propagation (BP) localisation. Theoretical analysis and numerical results indicate that the TLA‐BP algorithm can acquire higher accuracy and convergence probability compared with other typical methods.