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.