| With the development of technology and the requirement of modern warfare, Information Fusion technology has been focused and gotten rapid development as an emerging interdisciplinary study in recent years. Therefore the research of multi-sensor and multi-target tracks correlation method has been always a hotspot in the field Information Fusion. This paper studies the multi-sensor and multi-target tracks correlation algorithm through a certain research project. In this paper main research works show as follows:1. The basic theory of Information Fusion was introduced, and the methods of the multi-sensor and multi-target data correlation and tracks correlation were elaborated, and then the characteristics of each kind of correlation method were also analyzed.2. In order to improve the correction probability of the traditional tracks correlation algorithm, the thesis ameliorated the traditional algorithm by introducing the wavelet transform. The theory analysis and simulation results proved the validity of the improved algorithm.3. A new self-adaptive tracks correlation algorithm is proposed based on the wavelet frame condition and multi-resolution transform. This algorithm may adapt well to the maneuvering and non-maneuvering targets tracks correlation. The theory analysis and simulation results prove that the new algorithm has the high correct probability especially for the maneuvering movement.4. The interactive multi-models (IMM) method was also discussed, which is implemented of the uniform and "currently" accelerated motion model for the maneuvering target modeling.5. The proposed tracks correlation algorithm was applied into the Data-Link system. The Data-Link Information Fusion Simulation and Test Platform was also implemented, which can simulate the whole process of the information fusion. The platform can experience and replace different algorithms conveniently, and give the performance evaluation for different algorithms as well as the combination of algorithms. |
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