DocumentCode
2266290
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
fYear
2001
fDate
2001
Firstpage
1144
Lastpage
1148
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location
Beijing
Print_ISBN
0-7803-7000-7
Type
conf
DOI
10.1109/ICR.2001.984913
Filename
984913
Link To Document