Impact of Position Errors on Synthetic Aperture DOA Convergence Based on Swarming UAV s

Zhong Chen, Shihyuan Yeh, Jean Francois Chamberland, Gregory H. Huff

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

Abstract

This paper reports on the direction-of-arrival (DOA) estimation using micro-UAV swarm-based (MUSB) arrays in the presence of location errors. The MUSB array is a virtually three-dimensional (3-D) random time-varying array reconstructed from swarming UAVs (unmanned aerial vehicle). In practice, the sensor position errors cannot be omitted and will impact the DOA estimation performance. The goal of this work is to evaluate the impact of the position errors in the proposed MUSB array and study the convergence under low snapshot conditions using the iterative Multiple Signal Classification (iterative- MUSIC) algorithm. Measurements on a thirty location test platform are provided to benchmark the performance with expectations.

Original languageEnglish (US)
Title of host publication2020 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC/URSI 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-84
Number of pages2
ISBN (Electronic)9781946815088
DOIs
StatePublished - Jul 5 2020
Event2020 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC/URSI 2020 - Toronto, Canada
Duration: Jul 5 2020Jul 10 2020

Publication series

Name2020 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC/URSI 2020 - Proceedings

Conference

Conference2020 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC/URSI 2020
CountryCanada
CityToronto
Period7/5/207/10/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation

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