RDOA based Emitter Localization using Constrained Least Square Algorithm under NLOS Environment

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K. Lee
J. Oh
K. You

Abstract

The emitter localization is a significant problem in many fields such as target tracking, wireless communication, radar and many types of mobile application; In this paper, we apply Kalman filter and constrained least square (CLS) algorithm for compensating these noises. With the proposed two algorithms, we can confirm high accuracy for localization. A simulation demonstrates the performance of our proposed algorithm.

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How to Cite
Lee, K., Oh, J., & You, K. (2015). RDOA based Emitter Localization using Constrained Least Square Algorithm under NLOS Environment. Advanced Electromagnetics, 4(1), 59–62. https://doi.org/10.7716/aem.v4i1.296
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Research Articles

References

K. Yang, J. An, X. Bu, and G. Sun, Constrained total least squares location algorithm using time difference of arrival measurements, IEEE Trans. Veh. Technol. 59: 1558−1562, 2010.

View Article

S. Venkatraman and J. Caffery Jr., A statistical approach to non-line-of-sight BS identification, Proc. 5th Int. Symp. Wirel. Pers. Multimedia Commun., Hawaii, USA, pp. 296−300, 2002.

View Article

C. K. Seow, and S. Y Tan, Nonline-of-sight localization in multipath environments, IEEE Trans. Mob. Comput. 7: 647−660, 2008.

View Article

K. W. Cheung, H. C. So, W. K. Ma and Y. T Chan, A constrained least squares approach to mobile positioning: algorithms and optimality, EURASIP J. Appl. Signal Process. 2006: 1−23, 2006.

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