A discrimination method based on hypothesis testing is proposed for centralized radar networks to deal with the phantom track deception released by ECAV formation that will easily generate false air intelligence in radar networks. A measurement error model is built for phantom target according to the reality of this kind of deception. Then
a sample covariance matrix is constructed through using the radar measurement and the estimated target state. Hypothesis testing is then made to the matrix by using the statistical analysis method and to complete the sentence of track authenticity of each radar. Finally
the M/N logic is used to enhance the reliability of the judgment
and to highlight the anti-interference advantages of a radar network. Comparisons with existing widely used methods that are tactical or technique approaches and contain some tentative means show that the HT method is based on theoretical analysis and is reliable and feasible. The correct discrimination rate of the phantom approaches 90% or more.
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