Super Resolution Channel Estimation with Spread Spectrum Signal and Atomic Norm Minimization

Dongshin Yang, Yutaka Jitsumatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the important tasks in wireless communications is propagation delay estimation. It has been found that the channel estimation accuracy of compressed sensing is superior to the existing method based on signal parameter estimation through MUltiple SIgnal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). However, there is a problem in the method that multipath delays may not be resolved if they span between the grids. This problem leads to inaccurate channel estimation. In this paper, we describe the Atomic Norm Minimization (ANM) that enables super resolution channel estimation. In additions, we propose ANM by using Spread Spectrum (SS) signal. In this study, we show new experiments using Gold code for Global Positioning System (GPS). We have also added a new experiment to check the performance of the ANM with SS signal.

Original languageEnglish
Title of host publicationProceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages144-148
Number of pages5
ISBN (Electronic)9784885523182
DOIs
Publication statusPublished - Jul 2 2018
Event15th International Symposium on Information Theory and Its Applications, ISITA 2018 - Singapore, Singapore
Duration: Oct 28 2018Oct 31 2018

Publication series

NameProceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018

Conference

Conference15th International Symposium on Information Theory and Its Applications, ISITA 2018
Country/TerritorySingapore
CitySingapore
Period10/28/1810/31/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications

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