Hybrid DE-EM Algorithm for Gaussian Mixture Model-Based Wireless Channel Multipath Clustering
Joint Authors
Zhang, Jianhua
He, Ruisi
Tian, Lei
Li, Yupeng
Wei, Hewen
Source
International Journal of Antennas and Propagation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, the Gaussian mixture model (GMM) is introduced to the channel multipath clustering.
In the GMM field, the expectation-maximization (EM) algorithm is usually utilized to estimate the model parameters.
However, the EM widely converges into local optimization.
To address this issue, a hybrid differential evolution (DE) and EM (DE-EM) algorithms are proposed in this paper.
To be specific, the DE is employed to initialize the GMM parameters.
Then, the parameters are estimated with the EM algorithm.
Thanks to the global searching ability of DE, the proposed hybrid DE-EM algorithm is more likely to obtain the global optimization.
Simulations demonstrate that our proposed DE-EM clustering algorithm can significantly improve the clustering performance.
American Psychological Association (APA)
Li, Yupeng& Zhang, Jianhua& He, Ruisi& Tian, Lei& Wei, Hewen. 2019. Hybrid DE-EM Algorithm for Gaussian Mixture Model-Based Wireless Channel Multipath Clustering. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1157477
Modern Language Association (MLA)
Li, Yupeng…[et al.]. Hybrid DE-EM Algorithm for Gaussian Mixture Model-Based Wireless Channel Multipath Clustering. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1157477
American Medical Association (AMA)
Li, Yupeng& Zhang, Jianhua& He, Ruisi& Tian, Lei& Wei, Hewen. Hybrid DE-EM Algorithm for Gaussian Mixture Model-Based Wireless Channel Multipath Clustering. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1157477
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157477