A Novel Target Recognition Based Radio Channel Clustering Algorithm

Chen Huang, Ruisi He*, Zhangdui Zhong, Bo Ai, Gongpu Wang, Zhimeng Zhong, Claude Oestges, Katsuyuki Haneda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

In this paper, a novel target recognition based clustering algorithm is proposed for time-varying channels. Power angle spectrum (PAS) is extracted from measurement data by using Bartlett beamformer. Then the clusters in the PAS are separated from the background by using the proposed algorithm, where the amplitude distribution of the elements in the PAS is considered. Moreover, morphology operations are applied to further divide the clusters which are connected to each other. It is found that, the dominating clusters in both line-of-sight (LoS) and non-line-of-sight (NLoS) environments can be well recognized by the proposed algorithm with low computation cost. By using the proposed algorithm, the dynamic changes of the clusters in real-Time channel measurement can be clearly observed, without using any high-resolution parameter estimation.

Original languageEnglish
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PublisherIEEE
ISBN (Electronic)978-1-5386-6119-2
ISBN (Print)978-1-5386-6120-8
DOIs
Publication statusPublished - 30 Nov 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Wireless Communications and Signal Processing - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018
Conference number: 10

Publication series

NameInternational Conference on Wireless Communications and Signal Processing
PublisherIEEE
ISSN (Print)2325-3746
ISSN (Electronic)2472-7628

Conference

ConferenceInternational Conference on Wireless Communications and Signal Processing
Abbreviated titleWCSP
CountryChina
CityHangzhou
Period18/10/201820/10/2018

Keywords

  • Channel modeling
  • clustering
  • machine learning
  • target recognition
  • wireless communications

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