Title :
Multi hypothesis track extraction and maintenance of GMTI sensor data
Author :
Koller, Jost ; Ulmke, Martin
Author_Institution :
FGAN-FKIE, Wachtberg, Germany
Abstract :
This contribution presents an application of a multi hypothesis tracking (MHT) algorithm to the case of ground moving targets detected by GMTI (ground moving target indicator) sensors. We describe in some detail how the following tracking tasks are performed: track extraction, prediction, filtering, track maintenance and retrodiction (smoothing). The experimental implementation has been successfully tested in a NC3A (NATO Consultation, Command and Control Agency) testbed with simulated GMTI data of various ground surveillance sensors. Ongoing developments and improvements are discussed.
Keywords :
ground penetrating radar; prediction theory; radar detection; radar tracking; search radar; target tracking; tracking filters; GMTI sensor; MHT; NATO Consultation Command-Control Agency; NC3A; filtering theory; ground moving target indicator; ground surveillance sensor; multihypothesis track extraction; prediction theory; retrodiction; track maintenance; Bayesian methods; Data mining; Filtering; Intelligent sensors; Optical sensors; Radar tracking; Space technology; Surveillance; Target tracking; Testing; GMTI (Ground Moving Target Indicator); GMTI tracking; MHT (Multiple Hypothesis Tracking); STAP (Space Time Adaptive Processing); Sequential Track Extraction;
Conference_Titel :
Information Fusion, 2005 8th International Conference on
Print_ISBN :
0-7803-9286-8
DOI :
10.1109/ICIF.2005.1592035
