A Cooperative Recognition Algorithm for Distinguishing Active False Targets with Multiple High-Mobility Penetrators

The use of deceptive jamming creates false targets, making it difficult for missiles to accurately identify their targets. However, the implementation of multisite radar systems has enabled a solution to this problem through the fusion of data from the networked radar seekers. The proposed algorithm, presented in this paper, features a three-dimensional, many-to-many electronic countermeasure that is designed to cooperatively recognize active false targets in multiple high-mobility penetrators. The data collected by the networked radar seekers is processed through a hypothesis test in which the Mahalanobis distance is calculated to assess the correlation between measurements from different radar seekers. This leads to the distinction between false and real targets. The effectiveness of the proposed algorithm is demonstrated through simulation results.