A robust method in adaptive array processing for random phase errors

Abstract

Robust constraints have been developed that protect signal-to-noise performance of a desired signal in phase perturbed adaptive beamformers. Linearly constrained adaptive beamforming is powerful in receiving desired signals while nulling unwanted jammers. Unfortunately, it is very sensitive to phase perturbations in high signal-to-noise ratio environments. Such perturbations are caused by channel phase errors, array element placement errors, steering errors, and frequency errors. The addition of robust constraints increases performance in these perturbed environments. The subsequent algorithm was tested on data produced by a thirty-six element linear RF array and shown to enhance signal-to-noise performance.