Results 1 to 10 of about 258,630 (171)
A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems [PDF]
SensorsNonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
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Euclidean Quantum Mechanics and Universal Nonlinear Filtering
Entropy, 2009 An important problem in applied science is the continuous nonlinear filtering problem, i.e., the estimation of a Langevin state that is observed indirectly.
Bhashyam Balaji
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Variance-Constrained Multiobjective Control and Filtering for Nonlinear Stochastic Systems: A Survey [PDF]
Abstract and Applied Analysis, 2013 The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances.
Lifeng Ma +3 more
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An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Sensors, 2021 To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale ...
Pengchao Yao, Gongliu Yang, Xiafu Peng
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Applied Sciences, 2023 This article concerns the improvement of digital image quality using mathematical tools such as nonlinear partial differential operators. In this paper, to perform smoothing on digital images, we propose to use the p(x)-Laplacian operator.
Jean-Luc Henry +3 more
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Systems Science & Control Engineering, 2020 In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
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Classification of digital non-linear filters by discrete convolutions
Известия высших учебных заведений. Поволжский регион:Технические науки, 2022 Background. In the field of digital signal processing, there are many problems that can not be solved with traditional linear filtering methods. In particular, the use of linear filtering does not allow separating signal from the noise in the case when
M.A. Shcherbakov
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Systems Science & Control Engineering, 2023 In this paper, a recursive filtering problem is analyzed for nonlinear systems with sensor saturation under duty cycle scheduling (DCS). The sensor saturation is taken into account to describe practical engineering better.
Hongyu Gao +3 more
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IEEE Access, 2020 This paper concerns the nonlinear filter designing methods in the information space of the nonlinear systems with non-Gaussian noises. Firstly, the prediction information vector is obtained by the traditional square root cubature information filtering ...
Xiaoliang Feng +4 more
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Nonlinear Compressive Particle Filtering [PDF]
, 2013 Many systems for which compressive sensing is used today are dynamical. The common approach is to neglect the dynamics and see the problem as a sequence of independent problems. This approach has two disadvantages. Firstly, the temporal dependency in the
Ohlsson, Henrik +2 more
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