A Kalman filter clock ensemble algorithm that admits measurement noise

This work gives an algorithm for combining the readings of an ensemble of clocks in which noisy pairwise comparisons are admitted. It extends and generalizes a previously published Kalman filter algorithm that is useful only for an ensemble of clocks within the same laboratory. The present algorithm may be useful for an ensemble of clocks distributed among several remote laboratories.