Multi hypothesis track extraction and maintenance of GMTI sensor data

Author

Koller, Jost ; Ulmke, Martin

Author_Institution

FGAN-FKIE, Wachtberg, Germany

Volume

2

fYear

2005

fDate

25-28 July 2005

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2005 8th International Conference on

Print_ISBN

0-7803-9286-8

Type

conf

DOI

10.1109/ICIF.2005.1592035

Filename

1592035