Title :
A Multipath Viterbi Data Association Algorithm with uncertain ionospheric state
Author :
Liu Hui-Xia ; Liang Yan ; Pan Quan ; Cheng Yong-mei
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
Abstract :
The tracking system of over-the-horizon-radars (OTHR) inevitably output multiple tracks for one target in radar coordinate because of serious multiple propagation modes. At the same time, great error is usually introduced for the uncertain of the ionospheric state. In this paper, a multipath Viterbi data association (MVUI) algorithm with uncertain ionospheric state is proposed, through modeling target movement in ground coordinate and implementing data association in radar coordinate so that Viterbi data association (VDA) is extended from association between measurement and track to association among measurement, propagation mode and track. The simulation results show that MVUI improves the tracking performance at low probabilities of detection.
Keywords :
Viterbi detection; image motion analysis; object detection; radar detection; radar tracking; radiowave propagation; target tracking; Sky-wave over-the-horizon radar; ground coordinates; ith uncertain ionospheric state; multipath Viterbi data association algorithm; propagation mode; radar coordinates; target detection; target movement; target tracking system; Control systems; Coordinate measuring machines; Educational institutions; IEEE catalog; Radar detection; Radar measurements; Radar tracking; Target tracking; Viterbi algorithm; Ionospheric State; Multipath Viterbi Data Association; Sky-wave Over-The-Horizon Radar; Target Tracking;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280592