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http://dx.doi.org/10.5515/KJKIEES.2014.25.7.774

Tracking Filter Dealing with Nonlinear Inherence as a System Input  

Shin, Sang-Jin (Technical Support Center for National Defense Industry of Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.25, no.7, 2014 , pp. 774-781 More about this Journal
Abstract
The radar measurements are composed of range, Doppler and angles which are expressed as polar-coordinate components. An approach to match the measurements with the states of target dynamics which are modeled in cartesian coordinates is to use the pseudo-measurements or the extended Kalman filter in order to solve the mismatching problem. Another approach is that the states of dynamics are modeled in polar coordinates and measurement equation is linear. However, this approach bears that we have to deal with a time-varying dynamics. In this study, it is proposed that the states of dynamics are expressed as polar-coordinate component and the system matrix of the dynamic equation is modeled as a time-invariant. Nonlinear terms that appear due to the proposed modeling are regarded as a system input. The results of a series of simulation runs indicate that the tracking filter that uses the proposed modeling is viable from the fact that the Doppler measurement is easy to be augmented in the measurement equation.
Keywords
Target Tracking; Dynamic Modeling; Radar Measurement;
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