| Summary: | 碩士 === 大葉大學 === 電機工程研究所 === 89 === In order to solve target-maneuvering problems, an improved tracking algorithm has been developed in this thesis. In tracking system, if the sampling rate of system is too fast then the operation quantity of system will be bigger. However, if the sampling rate of system is too slow then the tracking error will be bigger. So we want to create a tracking algorithm to reduce the operation quantity of system while keep a low tracking errors. The major frame of this thesis contains an Adaptive Sampling Rate Tracking Algorithm, adaptive extended Kalman filter and to utilize a data association technique denoted 1-step conditional maximum likelihood. Via this approach, target-maneuvering productive great errors can be
decreased and the tracking system will obtain better performance.
Moreover, in order to verify the approach of this thesis is really improved. We detail to analyze and to compare with three types of simulations of tracking algorithm and to hypothesis many different target track situations. We convince that the proposed approach will enhance the radar tracking performance and obtain better tracking results.
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