Results 41 to 50 of about 472 (139)

Comparison of Kalman Filters for Inertial Integrated Navigation

Sensors, 2019
The current research on integrated navigation is mainly focused on filtering or integrated navigation equipment. Studies systematically comparing and analyzing how to choose appropriate integrated filtering methods under different circumstances are ...
Mengde Zhang, Kailong Li, Baiqing Hu, Chunjian Meng   +3 more
doaj   +1 more source

In-Flight Alignment Method of Integrated SINS/GPS Navigation System Based on Combined PF-UKF Filter

Shanghai Jiaotong Daxue xuebao, 2022
Aimed at the modeling error of the integrated strapdown inertial navigation system(SINS)/global positioning system (GPS) navigation system and the particle degradation problem of particle filter(PF), an in-flight alignment method of integrated SINS/GPS ...
GAO Honglian, YOU Jie, CAO Songyin
doaj   +1 more source

A Student's T Distribution‐Based Filter Design for SINS/GNSS With Heavy‐Tailed Noise

IET Electric Power Applications, Volume 19, Issue 1, January/December 2025.
To reduce the affection of outliers caused by heavy‐tailed noise, the noise model is constructed by the Student's T distribution rather than the Gaussian distribution, and the related probability density functions (PDF) are adaptively modelled as student's T PDFs with different DoF parameters.
Menghao Qian, Wei Chen, Ruisheng Sun
wiley   +1 more source

Adaptive Federated IMM Filter for AUV Integrated Navigation Systems

Sensors, 2020
High accuracy and reliable navigation in the underwater environment is very critical for the operations of autonomous underwater vehicles (AUVs). This paper proposes an adaptive federated interacting multiple model (IMM) filter, which combines adaptive ...
Weiwei Lyu, Xianghong Cheng, Jinling Wang   +2 more
doaj   +1 more source

Passive Target Motion Analysis With Own‐Ship Location Uncertainty in the Presence of Non‐Gaussian Sensor Noise

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh, Shreya Das, Shovan Bhaumik   +2 more
wiley   +1 more source

Decrease in Accuracy of a Rotational SINS Caused by its Rotary Table's Errors

International Journal of Advanced Robotic Systems, 2014
We call a strapdown inertial navigation system (SINS) that uses the rotation auto-compensation technique (which is a common method to reduce the effect of the bias errors of inertial components) a ‘rotational SINS’. In a rotational SINS, the rotary table
Pin Lv, Jianye Liu, Jizhou Lai, Ling Zhang   +3 more
doaj   +1 more source

Enhanced Strapdown Inertial Navigation System (SINS)/LiDAR Tightly Integrated Simultaneous Localization and Mapping (SLAM) for Urban Structural Feature Weaken Occasions in Vehicular Platform

Remote Sensing
LiDAR-based simultaneous localization and mapping (SLAM) offer robustness against illumination changes, but the inherent sparsity of LiDAR point clouds poses challenges for continuous tracking and navigation, especially in feature-deprived scenarios.
Xu Xu, Lianwu Guan, Yanbin Gao, Yufei Chen, Zhejun Liu   +4 more
openaire   +2 more sources

SmokeNav: Millimeter‐Wave‐Radar/Inertial Measurement Unit Integrated Positioning and Semantic Mapping in Visually Degraded Environments for First Responders

Advanced Intelligent Systems, Volume 6, Issue 12, December 2024.
In this work, SmokeNav, a system that fuses inertial sensor and millimeter‐wave radar for accurate user localization and metric map reconstruction in visually degraded environments, is presented. Using a foot‐mounted inertial sensor with human motion constraints, SmokeNav leverages inertial positioning to construct occupancy maps from radar data.
Changhao Chen, Zhiqiang Yao, Junlin Jiang, Xianfei Pan, Xiaofeng He, Ze Chen, Bing Wang   +6 more
wiley   +1 more source

Information Fusion Based on Complementary Filter for SINS/CNS/GPS Integrated Navigation System of Aerospace Plane

Sensors, 2020
In order to solve the problems of heavy computational load and poor real time of the information fusion method based on the federated Kalman filter (FKF), a novel information fusion method based on the complementary filter is proposed for strapdown ...
Yanming Zhao, Gongmin Yan, Yongyuan Qin, Qiangwen Fu   +3 more
doaj   +1 more source

Robust adaptive non‐linear alignment algorithm for SINS/DVL integrated navigation system based on variational Bayesian

IET Science, Measurement &Technology, Volume 18, Issue 9, Page 524-539, November 2024.
The proposed algorithm VBRAUKF is useful for dynamic alignment of SINS/DVL. According to the inaccurate modelling of the observation model, an adaptive estimation strategy for the measurement noise covariance is designed by Variational Bayesian algorithm based on unscented Kalman filter algorithm to solve dynamic attitude alignment for SINS/DVL ...
Bing Zhu, Jingshu Li, Guoheng Cui, Zuohu Li, Ge Tian, Xia Guo   +5 more
wiley   +1 more source