Corrigendum to "Nearly unbiased estimation of sample skewness" [Econom. Lett. 192 (2020) 109174]
In: Economics letters, Band 239, S. 111755
ISSN: 0165-1765
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In: Economics letters, Band 239, S. 111755
ISSN: 0165-1765
In: Economics Letters, Forthcoming
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In: Journal of Time Series Analysis (Forthcoming)
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In: Economics letters, Band 192, S. 109174
ISSN: 0165-1765
In: Journal of Time Series Analysis (Forthcoming).
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In: Finance Research Letters, Forthcoming
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With the rapid development of communication technology in recent years, Wireless Sensor Network (WSN) has become a promising research project. WSN is widely applied in a number of fields such as military, environmental monitoring, space exploration and so on. The non-line-of-sight (NLOS) localization is one of the most essential techniques for WSN. However, the NLOS propagation of WSN is largely influenced by many factors. Hence, a triple filters mixed Kalman Filter (KF) and Unscented Kalman Filter (UKF) voting algorithm based on Fuzzy-C-Means (FCM) and residual analysis (TF-FCM) has been proposed to cope with this problem. Firstly, an NLOS identification algorithm based on residual analysis is used to identify NLOS errors. Then, an NLOS correction algorithm based on voting and NLOS errors classification algorithm based on FCM are used to process the NLOS measurements. Hard NLOS measurements and soft NLOS measurements are classified by FCM classification. Secondly, KF and UKF are applied to filter two categories of NLOS measurements. Thirdly, maximum likelihood localization (ML) is employed to estimate the position of mobile nodes. The simulation result confirms that the accuracy and robustness of TF-FCM are better than IMM, UKF and KF. Finally, an experiment is conducted to test and verify our algorithm which obtains higher localization accuracy.
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In: Journal of international trade & economic development: an international and comparative review, Band 31, Heft 4, S. 614-645
ISSN: 1469-9559
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 215, S. 112152
ISSN: 1090-2414
In: Journal of economic dynamics & control, Band 124, S. 104077
ISSN: 0165-1889
In: Environmental science and pollution research: ESPR, Band 28, Heft 10, S. 12858-12869
ISSN: 1614-7499
In: EL52993
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In: Journal of Econometrics, Forthcoming
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In: Waste management: international journal of integrated waste management, science and technology, Band 109, S. 171-180
ISSN: 1879-2456
In: Journal of Economic Dynamics and Control, Forthcoming
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