A Novel Target Recognition Based Radio Channel Clustering Algorithm

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

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

Organisaatiot

  • Beijing Jiaotong University
  • Huawei Technologies Co., Ltd.
  • Universite Catholique de Louvain

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
TilaJulkaistu - 30 marraskuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Wireless Communications and Signal Processing - Hangzhou, Kiina
Kesto: 18 lokakuuta 201820 lokakuuta 2018
Konferenssinumero: 10

Julkaisusarja

NimiInternational Conference on Wireless Communications and Signal Processing
KustantajaIEEE
ISSN (painettu)2325-3746
ISSN (elektroninen)2472-7628

Conference

ConferenceInternational Conference on Wireless Communications and Signal Processing
LyhennettäWCSP
MaaKiina
KaupunkiHangzhou
Ajanjakso18/10/201820/10/2018

ID: 31481068