Mainlobe Jamming Suppression based on Joint Blind Source Separation for Distributed Radar

This paper deals with the mainlobe jamming suppression problem for the distributed radar with single transmitter and multiple receivers. A approach based on joint blind source separation (JBSS) is proposed. First, the signal model accounting for both the target and jammings is developed. Second, the target and the jamming signals are separated by exploiting the generalized non-orthogonal joint diagonalization (GNJD) JBSS method. Then, the mainlobe jamming is suppressed by discriminating the target signals from the separated signals. Finally, we demonstrate the validity and capacity of the proposed method via numerical simulations.