A super-resolution algorithm with FRFT towards GNSS TOA estimation for multipath channel

Yiran Luo, Li Ta Hsu, Yi Pan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Multipath channels can highly reduce the performance of global navigation satellite system (GNSS) time-of-arrival (TOA) estimations, as a non-line-of-sight (NLOS) signal can distort the estimating accuracy for the line-of-sight (LOS) signal in a conventional GNSS receiver. This paper firstly investigates the dynamic difference of the LOS and NLOS signals for a moving GNSS antenna. Then, the fractional Fourier transform (FRFT) algorithm is presented to match the signals with different Doppler rate values in a multipath channel. A long coherent processing interval (CPI) is also adopted to enhance the sensitivity and accuracy of the FRFT match filter. Simulating results demonstrate the high performance for detections towards the LOS/NLOS signals in the fractional Fourier domain (FRFD) based on the proposed FRFT super-resolution algorithm (SRA).

Original languageEnglish
Title of host publicationProceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
PublisherInstitute of Navigation
Pages3350-3359
Number of pages10
ISBN (Electronic)9780936406299
DOIs
Publication statusPublished - Sep 2021
Event34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021 - St. Louis, United States
Duration: 20 Sep 202124 Sep 2021

Publication series

NameProceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021

Conference

Conference34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Country/TerritoryUnited States
CitySt. Louis
Period20/09/2124/09/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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