Relative sensor registration with two-step method for state estimation

Relative sensor registration with two-step method for state estimation

State estimation suffers from some new challenging problems with a multi-platform multi-sensor observation system. An important problem for multisensor integration is that the data from the local sensors needs to be transformed into a common reference frame free of systematic bias or registration. I...

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Bibliographic Details
Main Authors: Quanbo Ge, Tianxiang Chen, Zhansheng Duan, Mingxin Liu, Zhuyun Niu
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:Cognitive Computation and Systems
Subjects:
nonlinear filters
state estimation
kalman filters
sensor fusion
matrix algebra
linearisation techniques
relative sensor registration problem
global sensor
local sensor
attitude bias
two-step method
location bias
multiplatform multisensor observation system
systematic bias
measurement bias estimation
rotation matrix
unit quaternion method
linear least square algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2018.0006

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https://digital-library.theiet.org/content/journals/10.1049/ccs.2018.0006

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