2018
DOI: 10.1109/jsen.2018.2869979
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A Nonlinear Transfer Alignment of Distributed POS Based on Adaptive Second-Order Divided Difference Filter

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Cited by 18 publications
(3 citation statements)
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“…Initial alignment can be divided into transfer alignment and self-alignment [9,10]. Unlike transfer alignment, self-alignment does not require reference attitude information for initial alignment [11][12][13]. Self-alignment is usually achieved in two ways.…”
Section: Introductionmentioning
confidence: 99%
“…Initial alignment can be divided into transfer alignment and self-alignment [9,10]. Unlike transfer alignment, self-alignment does not require reference attitude information for initial alignment [11][12][13]. Self-alignment is usually achieved in two ways.…”
Section: Introductionmentioning
confidence: 99%
“…Aiming at this problem, distributed POS is developed to measure multi-antenna motion and relative motion for array SAR, and is composed of a high-precision POS and several IMUs [18]. Its working principle is shown as follows.…”
Section: Introductionmentioning
confidence: 99%
“…However, other reports have focused on the transfer alignment. Zou et al proposed a nonlinear transfer alignment of distributed position and orientation system (POS) based on adaptive second-order divided difference filter [11]. They solved the problem of the lever-arm deformation in transfer alignment resulting in a nonlinear error and time-varying measurement noise covariance.…”
Section: Introductionmentioning
confidence: 99%