Title :
On Bayesian MHT for well-separated targets in densely cluttered environment
Author_Institution :
Forschungsinst. fur Funk und Math., Wachtberg- Werthoven, Germany
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;
Conference_Titel :
Radar Conference, 1995., Record of the IEEE 1995 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2121-9
DOI :
10.1109/RADAR.1995.522566
