Non-Synchronized Integration using Multiple Radars via Least Squares Fitting

Renyuan Zhang, Siyang Cao

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

1 Scopus citations

Abstract

In this paper, the non-synchronized integration of multiple frequency-modulated continuous-wave (FMCW) radars is presented. A phase error deduction method on different non-synchronized radars using trust-region-reflective least squares algorithm is introduced. Better angle of arrival (AoA) estimation, better angular resolution and better side lobes deduction are realized in experimental result. Therefore, integrating multiple independent radar systems to emulate a large aperture is achieved.

Original languageEnglish (US)
Title of host publication2019 IEEE National Aerospace and Electronics Conference, NAECON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages694-697
Number of pages4
ISBN (Electronic)9781728114163
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event2019 IEEE National Aerospace and Electronics Conference, NAECON 2019 - Dayton, United States
Duration: Jul 15 2019Jul 19 2019

Publication series

NameProceedings of the IEEE National Aerospace Electronics Conference, NAECON
Volume2019-July
ISSN (Print)0547-3578
ISSN (Electronic)2379-2027

Conference

Conference2019 IEEE National Aerospace and Electronics Conference, NAECON 2019
Country/TerritoryUnited States
CityDayton
Period7/15/197/19/19

Keywords

  • Automotive Radar
  • Least Squares Fitting
  • Linear Regression
  • Non-Synchronized Radar
  • Radar Signal Processing
  • Synchronization
  • Trust-Region-Reflective

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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