Abstract. Processing of signals from radio emission
sources in airborne monostatic radio monitoring
systems requires solving the problems of its identification and estimation of
the state coordinates. The radio emission sources identification is understood
as establishing a correspondence between separate signals detected by radio
monitoring system and radio-emission source specimens. The estimation is
understood as forming optimal estimates of the state coordinates of tracking radio-emission
source. The algorithm of multitarget route
tracking of radio-emission sources using monostatic
air-borne radio monitoring system is developed in the article. Developed
algorithm includes three stages: the formation of hypotheses about
identification, estimation of the state coordinates of all objects for each
hypothesis and the choice of the most plausible hypothesis. Radio monitoring systems specificity is that there is no possibility
for directly measuring of radio emission source range. In this conditions methods
of its indirect estimation based on angle measurements are used for estimation
of state coordinates of the tracking objects. In the article an algorithm of estimation of the state coordinates of tracking objects
was based on extended Kalman filter. Based on the simulation, the efficiency of
the developed algorithms was investigated.
Key words: multitarget
tracking,
radio
emission sources,
radio monitoring system, angular
position measurement, Kalman filter.
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