Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/235325
Title: A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components
Authors: Qi Wang;Bo Ai;Ruisi He;Ke Guan;Yan Li;Zhangdui Zhong;Guowei Shi
Year: 2017
Publisher: IEEE
Abstract: A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing clustering algorithms, the proposed framework is able to cluster the time-varying MPCs and track the clusters with high accuracy and low complexity.
URI: http://localhost/handle/Hannan/235325
volume: 21
issue: 4
More Information: 953,
956
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7778122.pdf819.38 kBAdobe PDF
Title: A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components
Authors: Qi Wang;Bo Ai;Ruisi He;Ke Guan;Yan Li;Zhangdui Zhong;Guowei Shi
Year: 2017
Publisher: IEEE
Abstract: A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing clustering algorithms, the proposed framework is able to cluster the time-varying MPCs and track the clusters with high accuracy and low complexity.
URI: http://localhost/handle/Hannan/235325
volume: 21
issue: 4
More Information: 953,
956
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7778122.pdf819.38 kBAdobe PDF
Title: A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components
Authors: Qi Wang;Bo Ai;Ruisi He;Ke Guan;Yan Li;Zhangdui Zhong;Guowei Shi
Year: 2017
Publisher: IEEE
Abstract: A framework of automatic clustering and tracking algorithm is proposed for the multipath components (MPCs) in time-variant radio channels. The algorithm is based on the channel dynamics in time domain and is able to reflect the birth and death behaviors of MPCs naturally. The proposed algorithm is validated by a ray-tracer and the spatial channel model extension simulations. Compared with other existing clustering algorithms, the proposed framework is able to cluster the time-varying MPCs and track the clusters with high accuracy and low complexity.
URI: http://localhost/handle/Hannan/235325
volume: 21
issue: 4
More Information: 953,
956
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7778122.pdf819.38 kBAdobe PDF