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On the Optimal Performance of Collaborative Position Location

By Tao Jia, Student Member, R. Michael Buehrer and Senior Member

Abstract

Abstract—In this paper, we investigate the optimal performance of collaborative position location. In particular, we develop a branch-and-bound (BB) solution search strategy, coupled with the reformulation linearization technique (RLT), to solve the maximum likelihood estimation (MLE) problem for collaborative position location, which is in general a nonlinear and nonconvex optimization problem. Compared with existing work which has only approximately solved the MLE problem, our approach is guaranteed to produce the (1

Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.418.6220
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