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A FeatureLevel Fusion Recognition Algorithm of Radar Operation Mode Based on D-S Evidence Theory
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TN911.7

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    Abstract:

    Aimed at the problems that the electromagnetic environments are becoming more complex day by day, and the radar operation mode recognition is of the limitations, a featurelevel fusion recognition algorithm of radar operation mode based on DS evidence theory is presented to overcome the limitations of recognition method on singleplatform under condition of the background of multiplatforms cooperative combat. Firstly, the BPAF (Basic Probability Assignment Function) is gotten with the member function. Then, according to the Dempster fusion rule, the fusion among platforms and the fusion among parameters are carried out successively. Finally, the radar operation mode is recognized by fusion results and decision rule of radar mode. Through the simulation experiments, the recognition rate of multiplatform is averagely increased by 27%. The result shows that the method can improve the performance of recognition effectively.

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  • Received:
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  • Online: July 30,2016
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