Optimum range and bearing estimation with randomly perturbed arrays

Abstract

The absolute minimum attainable values of incremental mean-square error in bearing and range estimation caused by random perturbations of sensor locations are determined and compared with the performance of conventional processors. At low signal-to-noise ratios the optimum estimator realizes no improvement over the conventional systems; at high signal-to-noise ratios it realizes only slight improvement.