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.
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