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논문 기본 정보

자료유형
학술저널
저자정보
Ka Hyung Choi (연세대학교) Won-Sang Ra (한동대학교) Jin Bae Park (연세대학교) Tae Sung Yoon (창원대학교)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.7 No.4
발행연도
2012.7
수록면
606 - 614 (9page)

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초록· 키워드

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A practical recursive linear robust estimation scheme is proposed for target localization in the sensor network which provides range difference of arrival (RDOA) measurements. In order to radically solve the known practical difficulties such as sensitivity for initial guess and heavy computational burden caused by intrinsic nonlinearity of the RDOA based target localization problem, an uncertain linear measurement model is newly derived. In the suggested problem setting, the target localization performance of the conventional linear estimation schemes might be severely degraded under the low SNR condition and be affected by the target position in the sensor network. This motivates us to devise a new sensor network localization algorithm within the framework of the recently developed robust least squares estimation theory. Provided that the statistical information regarding RDOA measurements are available, the estimate of the proposition method shows the convergence in probability to the true target position. Through the computer simulations, the omnidirectional target localization performance and consistency of the proposed algorithm are compared to those of the existing ones. It is shown that the proposed method is more reliable than the total least squares method and the linear correction least squares method.

목차

Abstract
1. Introduction
2. Pseudo Linear Measurement Model using RDOA Measurement
3. Target Localization Algorithm Based on the Robust Least Squares
4. Simulation Results
5. Conclusion
Acknowledgements
References

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UCI(KEPA) : I410-ECN-0101-2013-560-002708658