Title :
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
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;
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
DOI :
10.1109/ICMTMA.2010.614
