Title :
A fast parameter estimation registration algorithm for data fusion
Author :
Ziwei, Zheng ; Yisheng, Zhu
Author_Institution :
Coll. of Inf. Eng., Dalian Maritime Univ., China
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
Keywords :
Newton method; maximum likelihood estimation; measurement errors; sensor fusion; data fusion; fast Newton algorithm; fast parameter estimation registration algorithm; maximum-likelihood criterion function; sensor measurements; simulation; systematic error correction; systematic error estimation; Azimuth; Educational institutions; Error correction; Geometry; Least squares methods; Maximum likelihood estimation; Neural networks; Noise measurement; Parameter estimation; Sensor systems;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984913
