PMHT with Application of Road Information Based on GMTI

Author

Shang Bin ; Sun Jinping ; Li Shaohong

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

903

Lastpage

906

Abstract

Probabilistic Multi-Hypothesis Tracking (PMHT) is an algorithm for multiple target tracking when association of measurement and track is unknown. PMHT is an efficient algorithm for GMTI in cluttered environments of which the computational complexity is linear in the number of targets and measurements. An algorithm is presented in this paper to apply road information to PMHT. Road information is used to adjust estimated target state during the process of Kalman filter. Tracking performance of PMHT is increased apparently with the application of road constraint.

Keywords

Kalman filters; expectation-maximisation algorithm; probabilistic logic; radar clutter; radar tracking; target tracking; GMTI; Kalman filter; PMHT; ground moving target indicator radar system; multiple target tracking; probabilistic multi-hypothesis tracking; road information; Computational modeling; Covariance matrix; Equations; Gaussian noise; Noise measurement; Radar tracking; Roads; State estimation; Target tracking; Time measurement; GMTI; PMHT; road information; target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.614

Filename

5460043