상세정보
학술지
거리 정보 기반 무선 위치 추정을 위한 혼합 폐쇄형 해
- 저자
- 조성윤
- 발행일
- 201307
- 출처
- 제어로봇시스템학회논문지, v.19 no.7, pp.633-639
- ISSN
- 1976-5622
- 출판사
- 제어로봇시스템학회
- 협약과제
- 13VC2100, 운전 안전성 및 편의성 향상을 위한 운전자 시야 중심 차량용 증강현실 정보제공 시스템 기술개발, 김경호
- 초록
- Several estimation methods used in the range measurement based wireless localization area have individual problems. These problems may not occur according to certain application areas. However, these problems may give rise to serious problems in particular applications. In this paper, three methods, ILS (Iterative Least Squares), DS (Direct Solution), and DSRM (Difference of Squared Range Measurements) methods are considered. Problems that can occur in these methods are defined and a simple hybrid solution is presented to solve them. The ILS method is the most frequently used method in wireless localization and has local minimum problems and a large computational burden compared with closed-form solutions. The DS method requires less processing time than the ILS method. However, a solution for this method may include a complex number caused by the relations between the location of reference nodes and range measurement errors. In the near-field region of the complex solution, large estimation errors occur. In the DSRM method, large measurement errors occur when the mobile node is far from the reference nodes due to the combination of range measurement error and range data. This creates the problem of large localization errors. In this paper, these problems are defined and a hybrid localization method is presented to avoid them by integrating the DS and DSRM methods. The defined problems are confirmed and the performance of the presented method is verified by a Monte-Carlo simulation. © ICROS 2013.
- KSP 제안 키워드
- Application areas, Complex Number, Complex solution, DS method, Direct solution, Estimation method, Hybrid localization, Iterative least squares, Least Squares(LS), Localization method, Mobile node(MN)