A fast parameter estimation registration algorithm for data fusion

Abstract

A fast parameter estimation registration algorithm is developed to accurately estimate and correct the systematic errors of a data fusion system. The registration problem is expressed by a maximum-likelihood criterion function of the sensor measurements. The criterion function is optimized by a fast Newton algorithm. The effectiveness of the proposed algorithm is confirmed by simulation.