Data Fusion Algorithm for Asynchronous Radar Networks under Blanket Jamming


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Owing to the incompleteness and asynchronicity of the observation data, it is hard for the asynchronous netted radar to track its target effectively under intense blanket jamming. This paper presents a kind of data fusion algorithm for the asynchronous sensors based on optimal linearization approach, providing a solution to the problem of target tracking of radar networks under blanket jamming. First, the optimal linearization processing technique of the observation equation is derived. Then, based on this, the state vector of the target is initially estimated in batch mode. Finally, the filtering is processed in sequence. The simulation results show that the data fusion algorithm presented in the paper can track the target in high accuracy.



Edited by:

Jing Guo




Y. L. Zhao et al., "Data Fusion Algorithm for Asynchronous Radar Networks under Blanket Jamming", Applied Mechanics and Materials, Vols. 157-158, pp. 1446-1452, 2012

Online since:

February 2012




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