Discrimination of Active False Targets Based on Hermitian Distance for Distributed Multiple-Radar Architectures

Abstract

In a distributed multiple-radar architecture, the spatial scattering properties of targets can be utilized to counter active deception jamming effectively. When the cooperative detection is performed, the available method to discriminate active false targets needs to know the precise jammer location, and its performance will suffer significant deterioration with little location error. Aiming at the problem, we propose a novel method to discriminate false targets based on Hermitian distance. The difference in spatial scattering property leads to the difference in the Hermitian distances of different target combinations. The Hermitian distance between two false targets is much greater than that between two physical targets or that between a physical target and a false target, especially in high jamming-to-noise ratio. Based on the difference, hypothesis testing is performed to discriminate false targets. The proposed method does not require any prior information about the jamming environment and can discriminate the targets effectively in one pulse repetition interval. Moreover, the proposed method can restrict the upper bound of the misjudgment probability for physical targets. The theoretical analysis and simulation verify the feasibility and validity of the proposed discrimination method.