A Method for Tracking Dim Target Using Particle Filter
2014 ◽
Vol 602-605
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pp. 3127-3130
Keyword(s):
Low Snr
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Traditional methods encountered two serious problems in tracking dim targets. One is the nonlinearity of the system model, and other is the low SNR of measurement signals. The two problems are hardly solved simultaneously in practical engineering applications. The particle filter is a recursive numerical technique which uses random sampling to approximate the optimal evaluation to target tracking problems. In this paper, we developed a method for tracking dim target using particle filter. Simulation results showed that the tracking performance of this method has greatly improved compared with classical extended Kalman filter and unscented Kalman filter.
2014 ◽
Vol 615
◽
pp. 244-247
Keyword(s):
2012 ◽
Vol 466-467
◽
pp. 1329-1333
2013 ◽
Vol 427-429
◽
pp. 675-679
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