4.7 Article

An Improved Particle Filter Based on Gravity Measurement Feature in Gravity-Aided Inertial Navigation System

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

A Computationally Efficient Outlier-Robust Cubature Kalman Filter for Underwater Gravity Matching Navigation

Zhao Wang et al.

Summary: This article proposes a novel outlier-robust CKF-based matching algorithm for an underwater gravity-aided navigation system with outlier-contaminated measurements. The convergence analysis and stability discussions demonstrate the effectiveness of the proposed algorithm, while the discussion on computational complexity illustrates its good real-time performance. Simulation and experimental results confirm the advantages of the proposed matching algorithm compared to existing state-of-the-art matching algorithms.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2022)

Article Automation & Control Systems

Gravity matching navigation algorithm based on multiscale search and Hadamard transformed difference

Hui Liu et al.

Summary: By introducing multiscale search and Hadamard transformed difference, the new algorithm effectively improves the matching accuracy and success rate of gravity matching navigation algorithms.

ISA TRANSACTIONS (2022)

Article Engineering, Electrical & Electronic

Improved Particle Swarm Optimization Screening Iterative Algorithm in Gravity Matching Navigation

Jiasheng Zou et al.

Summary: This study improves the particle swarm optimization (PSO) algorithm for gravity-assisted inertial navigation. By using similarity of single-point matching, calculation of differences, and projection correction, the matching accuracy is significantly improved.

IEEE SENSORS JOURNAL (2022)

Article Chemistry, Analytical

Gravity-Matching Algorithm Based on K-Nearest Neighbor

Shuaipeng Gao et al.

Summary: A novel gravity-matching algorithm based on the K-Nearest neighbor is proposed in this paper to improve the accuracy and anti-noise capability of gravity-aided navigation. Simulation experiments demonstrate that the algorithm effectively reduces the INS positioning error.

SENSORS (2022)

Article Engineering, Electrical & Electronic

A co-occurrence matrix-based matching area selection algorithm for underwater gravity-aided inertial navigation

Chenglong Wang et al.

Summary: The matching area selection algorithm is crucial for underwater gravity-aided inertial navigation systems, with traditional algorithms struggling to reflect the spatial characteristics of the gravity field. The proposed algorithm based on co-occurrence matrix can effectively select matching areas by establishing gravity anomaly co-occurrence matrix and utilizing spatial relation characteristic parameters.

IET RADAR SONAR AND NAVIGATION (2021)

Article Automation & Control Systems

Improved Particle Filter-Based Matching Method With Gravity Sample Vector for Underwater Gravity-Aided Navigation

Bo Wang et al.

Summary: Gravity-matching algorithm is a crucial technique in gravity-aided inertial navigation system. An improved particle filter-based matching algorithm with a gravity sample vector is proposed, which analyzes the error range of INS in a short period, establishes attitude error angle model, and uses relative angle error to calculate latitudes and longitudes of particles. The method shows higher accuracy and better robustness by integrating relative displacements into particle weights to reduce matching error.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

Article Engineering, Electrical & Electronic

Global dynamic path-planning algorithm in gravity-aided inertial navigation system

Shengwu Zhao et al.

Summary: The paper proposes a global dynamic path-planning algorithm for obstacle-free navigation of an underwater vehicle by improving the global static path-planning algorithm and the local dynamic path-planning algorithm.

IET SIGNAL PROCESSING (2021)

Article Engineering, Electrical & Electronic

A Hybrid IMM Based INS/DVL Integration Solution for Underwater Vehicles

Yiqing Yao et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Article Computer Science, Information Systems

Gravity Aided Positioning Based on Real-Time ICCP With Optimized Matching Sequence Length

Fanming Liu et al.

IEEE ACCESS (2019)

Article Automation & Control Systems

A Matching Algorithm Based on the Nonlinear Filter and Similarity Transformation for Gravity-Aided Underwater Navigation

Yurong Han et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

Article Automation & Control Systems

A Combined Matching Algorithm for Underwater Gravity-Aided Navigation

Yurong Han et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

Article Automation & Control Systems

Point mass filter based matching algorithm in gravity aided underwater navigation

Han Yurong et al.

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2018)

Article Engineering, Electrical & Electronic

A Mismatch Diagnostic Method for TERCOM-Based Underwater Gravity-Aided Navigation

Yurong Han et al.

IEEE SENSORS JOURNAL (2017)

Article Engineering, Electrical & Electronic

An Improved TERCOM-Based Algorithm for Gravity-Aided Navigation

Yurong Han et al.

IEEE SENSORS JOURNAL (2016)

Article Automation & Control Systems

A Particle Filter-Based Matching Algorithm With Gravity Sample Vector for Underwater Gravity Aided Navigation

Bo Wang et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2016)

Article Automation & Control Systems

A Self-Calibration Method for Nonorthogonal Angles Between Gimbals of Rotational Inertial Navigation System

Bo Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Article Engineering, Marine

A Triangle Matching Algorithm for Gravity-aided Navigation for Underwater Vehicles

Zhenli Yang et al.

JOURNAL OF NAVIGATION (2014)