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- Title
A Practical, Robust and Fast Method for Location Localization in Range-Based Systems.
- Authors
Shiping Huang; Zhifeng Wu; Misra, Anil
- Abstract
Location localization technology is used in a number of industrial and civil applications. Real time location localization accuracy is highly dependent on the quality of the distance measurements and efficiency of solving the localization equations. In this paper, we provide a novel approach to solve the nonlinear localization equations efficiently and simultaneously eliminate the bad measurement data in range-based systems. A geometric intersection model was developed to narrow the target search area, where Newton's Method and the Direct Search Method are used to search for the unknown position. Not only does the geometric intersection model offer a small bounded search domain for Newton's Method and the Direct Search Method, but also it can self-correct bad measurement data. The Direct Search Method is useful for the coarse localization or small target search domain, while the Newton's Method can be used for accurate localization. For accurate localization, by utilizing the proposed Modified Newton's Method (MNM), challenges of avoiding the local extrema, singularities, and initial value choice are addressed. The applicability and robustness of the developed method has been demonstrated by experiments with an indoor system.
- Subjects
REAL-time computing; NEWTON-Raphson method; LOCALIZATION (Mathematics); SIMULATION methods &; models; ITERATIVE methods (Mathematics)
- Publication
Sensors (14248220), 2017, Vol 17, Issue 12, p2869
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s17122869