Abstract
This paper studies the multi-sensor resource management and intelligent tracking strategy generation for different targets. Firstly, the multi-sensor resource management methods are analyzed and compared with each other to specify the planning and information theories as the basis for this research. Then, a functional model is established according to the sensor resource updates, target visibility analysis, sensor performance analysis and sensor-to-target assignments. And the multi-sensor intelligent target tracking workflow is designed based on the function model. Thirdly, the corresponding multi-sensor intelligent target tracking strategy generation is designed based on ant colony algorithm. Finally, the evaluation analysis on the strategy generation is completed. This study provides a reference for the future studies on multi-sensor intelligent target tracking and multi-sensor system design.
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