| Summary: | 碩士 === 大葉大學 === 電機工程研究所 === 82 === This research is to design an algorithm using adaptive
sampling interval for a radar tracking system. Via this
technique, the tracking system can scan and grasp the target
information more effectively. The key development of this
approach is that the detection criterion for target maneuvering
situation and environment status together with the extended
Kalman filter and adaptive procedure algorithm is designed for
a tracking system. In order to analyze this approach, a
computer simulation algorithm is developed also. Finally, the
comparision of the difference of general fixed sampling
interval and adaptive sampling interval for a tracking system
will be conducted in this thesis. In addition to the
situations concerned as above, the multiple target
tracking problems are also considered in this reasearch.
According to the simulation results, the adaptive sampling
interval procedure proposed in this thesis will enhance
the radar tracking capability and have more accurate
performance.
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