Discrimination between radar targets and deception jamming in distributed multiple-radar architectures

This study considers the problem of deception electronic counter-countermeasure (ECCM) in distributed multiple-radar architectures. To discriminate deception targets from the detected targets, a two-block detection/discrimination ECCM scheme is proposed. The first block is devoted to the detection task, which is achieved by the non-coherent accumulation detector. If a target is declared, the second block is performed to discriminate between radar targets and deception jamming, exploiting the difference that the jamming signal vectors always exist in a rank one subspace and that the target signal vectors randomly distribute in the whole space. The target discriminator in the Neyman–Pearson sense is developed based on the generalised likelihood ratio test in classical linear models. Furthermore, the analytical expression for the probability of correctly discriminating radar targets is derived. An iteratively censored procedure is established to estimate the jamming subspace in real time. Finally, simulation results verify the feasibility of the new discriminator, and its performance due to the spatial correlation of radar targets, the signal-to-noise ratio, and the geometric spread are covered.