New least squares registration algorithm for data fusion

被引：30
|
作者：
Zheng, ZW [1 ]
Zhu, YS [1 ]
机构：
[1] Dalian Maritime Univ, Coll Informat Engn, Dalian 116026, Liaoning, Peoples R China
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2004年 / 40卷 / 04期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/TAES.2004.1386893
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
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.
引用
收藏
页码：1410 / 1416
页数：7
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