Recent Advances in Source Localisation Using Range Measurements
DEFENCE SCIENCE AND TECHNOLOGY GROUP EDINBURGH (AUSTRALIA)
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In this report we review and present a performance comparison of a number of recently proposed range-based source localization algorithms that approximate the maximum likelihood estimator. Although most of these algorithms are available in the literature we give an elaborated presentation of them and provide some comments on their performances. The optimization techniques used in these localization methods range from convex relaxation, global continuation to the generalized trust region subproblem method. Among the localization algorithms considered, the range weighted squared range least squares estimator RW-SRLS seems to be a particularly attractive algorithm as it is fast and yet only marginally suboptimal in a maximum likelihood sense, especially for small range measurement errors.
- Numerical Mathematics