Multi-target Tracking Theory And Method

In this thesis, the problem of target tracking has been studied. Data fusion is a burgeoning field of information processing technology, which was carried out in conditions concerning a system equipped with several sensors. In recent years, data fusion has been developed greatly and been used in many military and civilian fields.Data fusion is a new foreland technology field, which was generated by combining many traditional subjects and burgeoning subjects, so this thesis expatiate on the meaning, theory foundation, actual technology and research status of data fusion, which was a newly burgeoning subject deal with information. This thesis also applies a survey in the data fusion research field and the focus of this thesis is mult-target tracking field of the data fusion.In the field of multi-target tracking, scholars in China and other countries have presented many algorithms that treat with multi-target tracking in clutter. On the basis of collecting a lot of data in many countries, this thesis pointed out the virtues and shortcomings of every algorithm and concluded a model that suitable for the application in engineering. That model includes a 'currently' statistical model for the maneuvering targets.To resolve the question of tracking highly maneuvering targets in clutter with different sensors, the theory of multi-sensor data fusion and algorithm of joint probabilistic data association have been analyzed in depth. In this thesis, with the using of MATLAB simulating tool, it accomplished the tracking of three maneuvering targets in clutter and completed the algorithm emulation ofevery phase in multi-target tracking. From the satisfied result of simulation, the validity of target tracking algorithm in whole data fusion system has been proved.The multi-target tracking theory on the condition of multi-sensor was discussed in this thesis and the future develop direction of multi-target tracking was forecasted on the basis of knowing much recent situation of many countries in this field.