A unified approach to robust adaptive beamforming in moving jammer environment

The performance of adaptive beamforming algorithms is known to degrade in rapidly moving jammer environments. This degradation occurs due to the jammer motion that may bring the jammers out of the sharp nulls of the adapted directional pattern. Below, we develop a unified approach allowing to make a wide class of adaptive array algorithms robust against possible jammer motion. This is achieved by means of artificial broadening of the null width in all jammer directions. Data-dependent sidelobe derivative constraints are used which do not require any a priori information about the jammers. The robust modifications of several well known adaptive array algorithms are formulated.