Block processing method for on-line multisensor registration with its application to airport surface data fusion

A block processing methodology to estimate and cancel on-line the systematic sensor errors is proposed. The bias estimators obtained from sequential consecutive blocks can achieve an accuracy equivalent to that reachable with an extended Kalman filter, but updated a smaller fraction of times. The algorithm performance is illustrated in an airport scenario, fusing data from cooperative and non-cooperative sensors.