Abstract

AbstractJoint search data technology by geographically separated radars has drawn attention. In this technique, the observation data of several radars placed in a geographically wide area are collected for tracking processing. A characteristic of this technique is the reduction of the cross range error that is a problem in single radar. Hence, improved tracking capability is expected. However, for realization it is necessary to take into account the deviations of the coordinate axes between the state variable vector of the target and the observation vector for the observation model of the tracking filter. In this paper, the difference in the coordinate axes is studied. JPDA (Joint Probabilistic Data Association), a multitarget tracking algorithm making use of the observation information of radars placed at several locations, is studied. In order to evaluate the effectiveness of the present technique, computer simulation is carried out. It is found that the tracking performance is improved over the conventional method of using only one radar. © 2002 Scripta Technica, Electron Comm Jpn Pt 1, 85(5): 34–47, 2002

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