Abstract: A method for filtering spatial error from a measurement vector is provided to correct for roll, pitch and yaw angular motion. The method includes the following operations: Establish an unstabilized body reference frame. Convert the measurement vector to an unstabilized state vector xU in the unstabilized body reference frame. Establish a stabilized East-North-Up (ENU) reference frame. Calculate an unstabilized pre-transform covariance matrix MU from position variance of the body reference frame. Measure roll, pitch and yaw in the body reference frame as respective angle values (r, p, w). Calculate a transform matrix T between the body reference frame and the ENU reference frame. Calculate a stabilized data vector xS=TxU from the transform matrix and the unstabilized state vector. Calculate a measured angle error sensitivity matrix MA from the angle values. Calculate a tri-diagonal angle error component matrix ME with square values of angle variance of the body reference frame.

Abstract: A method for filtering spatial error from a measurement vector is provided to correct for roll, pitch and yaw angular motion. The method includes the following operations: Establish an unstabilized body reference frame. Convert the measurement vector to an unstabilized state vector xU in the unstabilized body reference frame. Establish a stabilized East-North-Up (ENU) reference frame. Calculate an unstabilized pre-transform covariance matrix MU from position variance of the body reference frame. Measure roll, pitch and yaw in the body reference frame as respective angle values (r, p, w). Calculate a transform matrix T between the body reference frame and the ENU reference frame. Calculate a stabilized data vector xS=TxU from the transform matrix and the unstabilized state vector. Calculate a measured angle error sensitivity matrix MA from the angle values. Calculate a tri-diagonal angle error component matrix ME with square values of angle variance of the body reference frame.

Abstract: A method and system are provided for merging data from a plurality of multiplexed measurement sources to a decision-maker. The method includes operations for receiving a corresponding plurality of measurements of the data, processing each measurement to respectively obtain local state estimates and local error covariances, determining a corresponding plurality of lag periods, offsetting each of the corresponding event times, supplying to a track fusion center the local state estimates and the local error covariances for summing the pluralities of the local state estimates as a fusion state estimate and the local error covariances as a fusion error covariance. The measurements to be fused are each acquired from its respective source and correspond to an associated sampling period within an acquisition interval. The lag periods represent a wait duration for obtaining the corresponding local state estimates and local error covariances.