A new least-squares registration (NLSR) algorithm is developed to accurately estimate and correct the systematic errors of a data fusion system. First, the two-sensor registration problem is expressed by an averaged least-squares (LS) criterion function of the sensor measurements. The criterion function is optimized by a Newton algorithm. Then, the algorithm is extended to multiple-sensor case. The accuracy of the proposed estimation scheme achieves the Cramer-Rao bound (CRB). Theoretical analysis and simulations are employed to assess the performance of the proposed algorithm.
New least squares registration algorithm for data fusion
IEEE Transactions on Aerospace and Electronic Systems ; 40 , 4 ; 1410-1416
2004-10-01
606222 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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