In‐flight initial alignment scheme for radar‐aided SINS in the arctic

Li, Jing; Song, Ningfang; Yang, Ge; Yang, Shujie; Wang, Jing

doi:10.1049/iet-spr.2015.0497

Cited by 10 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [19] proposed muti-population genetic algorithm unscented Klaman filter to complete the coarse alignment. In addition to the non-linear error caused by large misalignment angle, vibration-shock interference will also bring great challenges to the accuracy of hull deformation inertial matching method in the use of large ships.…”

Section: Introductionmentioning

confidence: 99%

An anti‐vibration‐shock inertial matching measurement method for hull deformation

Zhang

Peng

et al. 2022

IET Signal Processing

Self Cite

View full text Add to dashboard Cite

In order to establish a unified spatial reference for the whole ship, inertial matching measurement of hull deformation is widely used because of its continuity and concealment. However, the vibration-shock signal of shipborne equipment often brings short-time output disturbance to the user-side fibre gyroscope unit (FGU), and the disturbance will bring great challenges to the accuracy and convergence of inertial matching measurement.To solve these problems, the authors put forward a new algorithm named as attitude quaternion matching method-improved double factor adaptive Kalman filter-parameter adaptive Kalman filter (AQM-IDFAKF-PAKF). ( 1) The AQM established the FGU attitude as observation to build the basic model for hull deformation inertial matching method.(2) The authors introduced IDFAKF to track the trend of dynamic hull deformation in vibration interference by using historical data. (3) After judging the anti-vibration-shock calculation stop node, PAKF was utilised to adaptively adjust the parameters of hull deformation matching after vibration-shock, so as to quickly calculate the static hull deformation angle after shock interference. Numerical simulation results illustrated that the AQM-IDFAKF-PAKF can quickly converge the calculation of hull deformation angle with a small steady-state error under the condition of vibration-shock signal interference.

show abstract

Section: Introductionmentioning

confidence: 99%

An anti‐vibration‐shock inertial matching measurement method for hull deformation

Zhang

Peng

et al. 2022

IET Signal Processing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The polar regions are becoming more and more important for all mankind, and the polar flight ability is of great significance. 1–3 The lack of high-precision navigation is one of the most prominent problems in polar navigation. As the most important autonomous navigation equipment, Strapdown Inertial Navigation System (SINS) can provide all kinds of high-frequency navigation information while maintaining good concealment and real-time performance.…”

Section: Introductionmentioning

confidence: 99%

“…13 An SINS/radar alignment algorithm is proposed to improve the attitude estimation accuracy. 1 The output of DVL (Doppler Velocity Log) is employed as the measurement in the polar transversal initial alignment algorithm. 14 The transfer alignment using high-precision master inertial navigation system (INS) output to estimate the states is researched in the polar regions.…”

Section: Introductionmentioning

confidence: 99%

A new polar alignment algorithm based on the Huber estimation filter with the aid of BeiDou Navigation Satellite System

Zhao

Zeng

Liu

et al. 2021

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

For aircrafts equipped with BeiDou Navigation Satellite System/Strapdown Inertial Navigation System integrated navigation system, BeiDou Navigation Satellite System information can be used to achieve autonomous alignment. However, due to the complex polar environment and multipath effect, BeiDou Navigation Satellite System measurement noise often exhibits a non-Gaussian distribution that will severely degrade the estimation accuracy of standard Kalman filter. To address this problem, a new polar alignment algorithm based on the Huber estimation filter is proposed in this article. Considering the special geographical conditions in the polar regions, the dynamic model and the measurement model of BeiDou Navigation Satellite System/Strapdown Inertial Navigation System integrated alignment system in the grid frame are derived in this article. The BeiDou Navigation Satellite System measurement noise characteristics in the polar regions are analyzed and heavy-tailed characteristics are simulated, respectively. Since the estimation accuracy of standard Kalman filter can be severely degraded under non-Gaussian noise, a Kalman filter based on the Huber estimation is designed combining grid navigation system and generalized maximum likelihood estimation. The simulation and experiment results demonstrate that the proposed algorithm has better robustness under non-Gaussian noise, and it is effective in the polar regions. By employing the proposed algorithm, the rapidity and accuracy of the alignment process can be improved.

show abstract

In-Motion Alignment Algorithm with ST-EKF for SINS Based on n-Vector Model in Polar Regions

Liu

Wang

et al. 2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

In‐flight initial alignment scheme for radar‐aided SINS in the arctic

Cited by 10 publications

References 11 publications

An anti‐vibration‐shock inertial matching measurement method for hull deformation

An anti‐vibration‐shock inertial matching measurement method for hull deformation

A new polar alignment algorithm based on the Huber estimation filter with the aid of BeiDou Navigation Satellite System

In-Motion Alignment Algorithm with ST-EKF for SINS Based on n-Vector Model in Polar Regions

Contact Info

Product

Resources

About