Results 11 to 20 of about 1,310 (144)
Ship trajectory tracking based on IMM-SCKF algorithm
Objectives Aiming at the unstable error of the extended Kalman filter (EKF) and the limited representation ability of a single motion model in a scenario involving complex changes of a ship's motion state, a ship trajectory tracking algorithm based on an
Jiaxuan YANG, Baiguo CHEN, Lingqi MA
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Integrating global navigation satellite systems (GNSSs) with inertial navigation systems (INSs) has been widely recognized as an ideal solution for autonomous vehicle navigation.
Bingbo Cui +6 more
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DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model
A novel nonlinear attitude error model based on square root cubature information filter (SR-CIF) is proposed aiming to speed up the convergence rate of DVL-aided strapdown inertial navigation system (SINS) in-motion initial alignment for autonomous ...
Lu Zhang +3 more
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A Non-Equal Time Interval Incremental Motion Prediction Method for Maritime Autonomous Surface Ships
Recent technological advancements facilitate the autonomous navigation of maritime surface ships. The accurate data given by a range of various sensors serve as the primary assurance of a voyage’s safety.
Zhijie Zhou +3 more
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Electric potential and field calculation of charged BEM triangles and rectangles by Gaussian cubature [PDF]
It is a widely held view that analytical integration is more accurate than the numerical one. In some special cases, however, numerical integration can be more advantageous than analytical integration.
Glück, Ferenc, Hilk, Daniel
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Square-Root Sigma-Point Information Consensus Filters for Distributed Nonlinear Estimation
This paper focuses on the convergence rate and numerical characteristics of the nonlinear information consensus filter for object tracking using a distributed sensor network.
Guoliang Liu, Guohui Tian
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Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu +3 more
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Distributed analysis of target kinematics captured by a large network of sensors has received significant attention lately. Tracking moving targets in nonlinear systems is one of the most fundamental tasks in this regard and information‐type consensus filters (ICFs) have been applied to this problem.
Liu Yu, He You, Wang Haipeng
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Moment Estimation Using a Marginalized Transform [PDF]
We present a method for estimating mean and covariance of a transformed Gaussian random variable. The method is based on evaluations of the transforming function and resembles the unscented transform and Gauss-Hermite integration in that respect.
Sandblom, Fredrik, Svensson, Lennart
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A Green Distributed Signal Reconstruction Algorithm in Wireless Sensor Networks
Environmental consideration provides new trends in wireless communication network known as green communication. The main object of green communication is to save as much as possible the energy consumption of the communication system.
Zhi Zhao, Jiuchao Feng, Bao Peng
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