Abstract
Complex scenarios are characterized by harsh multipath conditions. Recently, strong single reflections among multipath components (MPC) are proved to improve localization performance such as data-association (DA) and multipath components mitigation. We first propose a novel DA method, which figures out the relationship between the received signals and scatters based on an expectation maximization (EM) based Gaussian mixture model. Furthermore, sensors themselves often have uncertainties to be estimated, we propose a joint estimation method to obtain the final estimate. Simulation results show the effectiveness of the algorithm by considering sensors’ uncertainties after demapping. As a result, the proposed algorithm can fit applications of large-scale wireless sensor networks (WSNs) in practice.
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References
Zhao, F., Guibas, L.J.: Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann, Amsterdam (2004)
Gezici, S., Giannakis, G., Kobayashi, H., Molisch, A., Poor, H., Sahinoglu, Z.: Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks. IEEE Sig. Process. Mag. 22, 70–84 (2005)
Wymeersch, H., Lien, J., Win, M.Z.: Cooperative localization in wireless networks. In: Proceedings of IEEE, vol. 97, no. 2, pp. 427–450 (2009)
Grisetti, G., KuMmerle, R., Stachniss, C.: A tutorial on graph-based SLAM. IEEE Intell. Transp. Syst. Mag. 2(4), 31–43 (2010)
Yin, F., Fritsche, C., Gustafsson, F., Zoubir, A.M.: TOA-based robust wireless geolocation and Cramr-Rao lower bound analysis in harsh LOS/NLOS environments. IEEE Trans. Sig. Process. 61(9), 2243–2255 (2013)
Leitinger, E., Meissner, P., Rdisser, C.: Evaluation of position-related information in multipath components for indoor positioning. IEEE J. Sel. Areas Commun. 33(11), 2313–2328 (2015)
Yin, F., Fritsche, C., Jin, D.: Cooperative localization in WSNs using Gaussian mixture modeling: distributed ECM algorithms. IEEE Trans. Sig. Process. 63(6), 1448–1463 (2015)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhao, B., Hao, G. (2018). Data Association Based Passive Localization in Complex Multipath Scenario. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_63
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DOI: https://doi.org/10.1007/978-3-319-73447-7_63
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