Main-lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar

Main-lobe blanket jamming is a challenging jamming pattern in electronic warfare. Based on the difference in spatial correlation between target echoes and jamming signals, signal cancellation has been used to suppress the main-lobe jamming in multistatic radar. However, the cancellation residue and the extra superimposed noise would lead to serious degradation in target detection. In this paper, instead of cancelling the jamming in the power domain, a feature domain, named signal ratio feature domain, is defined to suppress main-lobe jamming with the excepted targets retained simultaneously. The jamming signal is suppressed in the background due to the high correlation among different receivers, whereas the targets will be highlighted on account of its independence. Then, in the defined feature domain, a target detector with constant false alarm ratio in the Neyman-Pearson sense is applied to detect the highlighted targets. Numerical simulation is given to verify the jamming suppression ability of the proposed method, and the performance improvement in target detection compared with the available cancellation methods is also covered.