Title :
Maximum likelihood approach for tracking multiple mobile agents with a moving Doppler radar system
Author :
Herath, Sanvidha C K ; Pathirana, Pubudu N.
Author_Institution :
Networked Sensing & Control Lab., Deakin Univ., Geelong, VIC, Australia
Abstract :
Tracking mobile agents with a Doppler radar system mounted on a moving vehicle is considered in this paper. Dopplers modulated from mobile agents on the single frequency continuous wave signals are analyzed in order to estimate the positions and velocities of multiple mobile agents. The measurement noise is assumed to be Gaussian and the maximum likelihood estimation is utilized to enhance the localization accuracy.
Keywords :
CW radar; Doppler radar; Gaussian noise; maximum likelihood estimation; mobile agents; radar tracking; traffic engineering computing; video surveillance; Doppler radar; Gaussian noise; frequency continuous wave signals; maximum likelihood approach; mobile agents tracking; Doppler effect; Doppler radar; Maximum likelihood estimation; Mobile agents; Vehicle dynamics; Vehicles;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-7174-4
DOI :
10.1109/ISSNIP.2010.5706763
