Adaptive beamforming algorithms with robustness against jammer motion

The performance of adaptive array 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 notches of the adapted pattern. We develop the robust modifications of the sample matrix inversion (SMI) algorithm, loaded SMI (LSMI) algorithm, and eigenvector projection (EP) algorithm by means of artificial broadening of the null width in the jammer directions. For this purpose, data-dependent sidelobe derivative constraints that do not require any a priori information about the jammer directions are used.