On the Large Apparent Black Hole Spin-orbit Misalignment Angle in GW200115 [PDF]
Abstract GW200115 is one of the first two confidently detected gravitational-wave events of neutron star–black hole mergers. An interesting property of this merger is that the black hole, if spinning rapidly, has its spin axis negatively aligned (with a misalignment angle >90°) with the binary orbital angular momentum vector. Although
X. J. Zhu
semanticscholar +5 more sources
Application of Adaptive Robust CKF in SINS/GPS Initial Alignment with Large Azimuth Misalignment Angle [PDF]
When the strapdown inertial navigation system does not perform coarse alignment, the misalignment angle is generally a large angle, and a nonlinear error model and a nonlinear filtering method are required. For large azimuth misalignment, the initial alignment technology with a large azimuth misalignment angle is researched in this paper.
Zhang Bing +4 more
semanticscholar +4 more sources
Polar transfer alignment of shipborne SINS with a large misalignment angle
Existing polar transfer alignment (TA) algorithms are designed based on linear Kalman filters (KF) to estimate misalignment angles. In the case of a large misalignment angle, these algorithms cannot be applied in order to achieve accurate TA. In this paper, a TA algorithm based on an unscented Kalman filter (UKF) is proposed to solve the problem of the
Jianhua Cheng +3 more
semanticscholar +3 more sources
Study on Initial Alignment Under Large Misalignment Angle
Qi Wang, Changsong Yang, Shaoen Wu
semanticscholar +3 more sources
A Se(2)-Based Transfer Alignment for Large Installation Misalignment Angle
Bo Xu, Yu Guo, Yunpeng Guo, Xiaoyu Wang
semanticscholar +4 more sources
Rapid Transfer Alignment for Large and Time-Varying Attitude Misalignment Angles
Transfer alignment is an effective method to estimate the attitude difference between two inertial platforms. Traditional transfer alignment methods are either meant for small misalignments or use nonlinear filtering. Linear methods for large misalignments use quaternion attitude representation, but their performance degrades when the misalignment is ...
Laetitia Tosoni +3 more
openalex +4 more sources
Novel SINS Initial Alignment Method under Large Misalignment Angles and Uncertain Noise Based on Nonlinear Filter [PDF]
For the SINS initial alignment problem under large misalignment angles and uncertain noise, two novel nonlinear filters, referred to as transformed unscented quadrature Kalman filter (TUQKF) and robust transformed unscented quadrature Kalman filter (RTUQKF), are proposed in this paper, respectively.
Bo Yang +4 more
openalex +3 more sources
A Method for SINS Alignment with Large Initial Misalignment Angles Based on Kalman Filter with Parameters Resetting [PDF]
In the initial alignment process of strapdown inertial navigation system (SINS), large initial misalignment angles always bring nonlinear problem, which causes alignment failure when the classical linear error model and standard Kalman filter are used.
Xixiang Liu +3 more
openalex +3 more sources
An Improved Initial Alignment Method Based on SE2(3)/EKF for SINS/GNSS Integrated Navigation System with Large Misalignment Angles [PDF]
This paper proposes an improved initial alignment method for a strap-down inertial navigation system/global navigation satellite system (SINS/GNSS) integrated navigation system with large misalignment angles. Its methodology is based on the three-dimensional special Euclidean group and extended Kalman filter (SE2(3)/EKF) and aims to overcome the ...
Jin Sun, Yuxin Chen, Bingbo Cui
openalex +4 more sources
INITIAL ALIGNMENT OF FIBER-OPTIC INERTIAL NAVIGATION SYSTEM WITH LARGE MISALIGNMENT ANGLES BASED ON GENERALIZED PROPORTIONAL-INTEGRAL-DERIVATIVE FILTER [PDF]
Initial alignment in the presence of large misalignment angles is a critical issue in strapdown inertial navigation systems. The large initial misalignment angle adversely affects the accuracy and rapidness of the alignment process. In this paper a novel
Mohammad Ali Rahgoshay +2 more
openalex +2 more sources

