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무선센서네트워크에서 노드의 위치추정을 위한 반복최소자승법의 지역최소 문제점 및 이에 대한 해결책
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- Authors
- 조성윤
- Issue Date
- 2011-10
- Citation
- 제어로봇시스템학회논문지, v.17, no.10, pp.1059-1066
- ISSN
- 1976-5622
- Publisher
- 제어로봇시스템학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- This paper makes a close inquiry into ill-conditioning that may be occurred in wireless localization of the sensor nodes based on network signals in the wireless sensor network and provides the clue for solving the problem. In order to estimate the location of a node based on the range information calculated using the signal propagation time, LS (Least Squares) method is usually used. The LS method estimates the solution that makes the squared estimation error minimal. When a nonlinear function is used for the wireless localization, ILS (Iterative Least Squares) method is used. The ILS method process the LS method iteratively after linearizing the nonlinear function at the initial nominal point. This method, however, has a problem that the final solution may converge into a LM (Local Minimum) instead of a GM (Global Minimum) according to the deployment of the fixed nodes and the initial nominal point. The conditions that cause the problem are explained and an adaptive method is presented to solve it, in this paper. It can be expected that the stable location solution can be provided in implementation of the wireless localization methods based on the results of this paper.
- KSP Keywords
- Estimation error, Ill-conditioning, LS method, Least Square(LS), Local minimum, Node based, Propagation time, Sensor node, Signal Propagation, Wireless Localization, Wireless Sensor networks