Skip to main navigation Skip to search Skip to main content

Performance analysis on a decoupled maximum likelihood angle estimator in an fm based passive bistatic radar

  • Geun Ho Park
  • , Dong Gyu Kim
  • , Ho Jae Kim
  • , Xianglan Jin
  • , Jin Oh Park
  • , Won Jin Lee
  • , Jae Heon Ko
  • , Hyoung Nam Kim*
  • *Corresponding author for this work
  • Pusan National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

We analyze the performance of a decoupled maximum likelihood (DEML) angle estimator in an FM based passive bistatic radar. Under the assumption that the bistatic range, the Doppler frequency estimates, and the transmitted signal emitted from an illuminator are given, we analyze the sensitivity of the DEML estimator against the range and Doppler frequency errors from the analytic expressions and simulation results. As a result, the performance of the DEML estimator may be mainly degraded by the Doppler frequency errors and we derive a condition that the root-mean-square error of the DEML estimator diverges.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017
PublisherActa Press
Pages242-246
Number of pages5
ISBN (Electronic)9780889869882
DOIs
StatePublished - 2017
Event2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017 - Innsbruck, Austria
Duration: 2017.02.202017.02.21

Publication series

NameProceedings of the IASTED International Conference on Modelling, Identification and Control
Volume848
ISSN (Print)1025-8973

Conference

Conference2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017
Country/TerritoryAustria
CityInnsbruck
Period17.02.2017.02.21

Keywords

  • Decoupled maximum likelihood angle estimator
  • FM based bistatic radar

Fingerprint

Dive into the research topics of 'Performance analysis on a decoupled maximum likelihood angle estimator in an fm based passive bistatic radar'. Together they form a unique fingerprint.

Cite this