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Blind Identification of Sparse Multipath Channels Under the Background of Internet of Things

  • Ying Li
  • Feng JinEmail author
  • Qi Liu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

Abstract

To improve the ability of blind identification and scheduling of sparse multipath channels in wireless communication networks under the background of Internet of things, a blind identification algorithm for sparse multipath wireless communication based on random sampling interval equalization and BPSK modulation is proposed. The sparse multipath channel model of wireless communication network under the background of Internet of things is constructed, and the multipath characteristics of sparse multipath channel of wireless communication network are analyzed. The BPSK modulation method is used to filter the inter-symbol interference of sparse multipath channel of wireless communication network. Based on the adaptive random sampling interval equalization technique, blind channel identification is designed, and the tap delay line model is used to suppress the multi-path of sparse multipath channel in wireless communication network. The simulation results show that the blind identification of sparse multipath channels in wireless communication networks is well balanced and the bit error rate (BER) is reduced.

Keywords

Internet of things Sparse multipath channel Blind identification Communication 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Information and Communication CollegeNational University of Defense TechnologyXi’anChina

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