Particle filter algorithm for tracking manoeuvring target using FM signal

K. Jishy, F. Lehmann, M. Moruzzis, G. Salut

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to introduce the Particle filter techniques in the Passive Radar Detection and tracking, we present in this correspondence a comparison between classical technique of tracking that uses a maxima search in the Range/Doppler gridspace, and then estimates the target position using an extended Kalman filter and a proposed Particle filter that uses directly the correlation output. The passive radar receives the signals of FM stations that propagate and reflect on a manoeuvring target.

Original languageEnglish
Title of host publicationIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
Pages355-359
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2009
Event9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009 - Ajman, United Arab Emirates
Duration: 14 Dec 200916 Dec 2009

Publication series

NameIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009

Conference

Conference9th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
Country/TerritoryUnited Arab Emirates
CityAjman
Period14/12/0916/12/09

Keywords

  • Bayesian estimation
  • Particle filter
  • Radar signal processing

Fingerprint

Dive into the research topics of 'Particle filter algorithm for tracking manoeuvring target using FM signal'. Together they form a unique fingerprint.

Cite this