On Bayesian MHT for well-separated targets in densely cluttered environment

Author

Koch, W.

Author_Institution

Forschungsinst. fur Funk und Math., Wachtberg- Werthoven, Germany

fYear

1995

fDate

8-11 May 1995

Firstpage

323

Lastpage

328

Abstract

Certain radar applications must cope with rather extreme operational conditions (densely cluttered environment/relatively small detection probabilities). Tracking in such situations calls for refined data association and processing techniques. By simulation results we demonstrate the applicability of Bayesian multiple hypothesis tracking (MRT) to well-separated targets detected with a mechanically rotating radar. Special emphasis is placed on air situations characterized by massively occurring data association conflicts

Keywords

Bayes methods; radar applications; radar clutter; radar tracking; search radar; Bayesian MHT; Bayesian multiple hypothesis tracking; air situations; data association techniques; data processing techniques; densely cluttered environment; massively occurring data association conflicts; mechanically rotating radar; radar applications; radar tracking; relatively small detection probabilities; simulation results; surveillance radar; well-separated targets; Bayesian methods; Clutter; Radar applications; Radar cross section; Radar detection; Radar tracking; Signal processing; Signal processing algorithms; Surveillance; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 1995., Record of the IEEE 1995 International

Conference_Location

Alexandria, VA

Print_ISBN

0-7803-2121-9

Type

conf

DOI

10.1109/RADAR.1995.522566

Filename

522566