Results 241 to 250 of about 17,529,102 (294)

A lightweight hybrid framework for real-time data refinement in resource-constrained underwater and underground wireless sensor networks. [PDF]

Sci Rep
Chelloug SA, Nazir S, Khan R, Khattak MAK, Alturise F, Alkhalaf S.   +5 more
europepmc   +1 more source

Square Root Cubature Information Filter

IEEE Sensors Journal, 2013
Nonlinear state estimation plays a major role in many real-life applications. Recently, some sigma-point filters, such as the unscented Kalman filter, the particle filter, or the cubature Kalman filter have been proposed as promising substitutes for the conventional extended Kalman filter.
Da-Wei Gu, Kumar Pakki Bharani Chandra, Ian Postlethwaite   +2 more
exaly   +3 more sources

Sensor data fusion algorithms using square-root information filtering

IEE Proceedings - Radar, Sonar and Navigation, 2002
Multi-sensor information fusion is gaining increasing importance in modern technologies. The merit of the information fusion approach is that the fusion at measurement level is quite straightforward. The square-root information filter (SRIF) is studied for possible application to sensor data fusion processes.
J.R. Raol, G. Girija
openaire   +2 more sources

Distributed object tracking based on square root cubature H-infinity information filter.

, 2014
Several non-linear state estimation methods such as extended Kalman filter, cubature Kalman filter, and unscented Kalman filter are used to track objects in visual sensor networks. These conventional non-linear state estimation methods require the accurate knowledge of the object's initial conditions, process and measurement models, and corresponding ...
Venkata Pathuri Bhuvana, Mario Huemer, REGAZZONI, CARLO   +2 more
core   +4 more sources

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Square root spherical simplex radial information filter

2017 4th International Conference on Systems and Informatics (ICSAI), 2017
In order to further increase the precision of information filter, square root spherical simplex radial information filter (SRSSRIF) is put forward in the article. SRSSRIF is combined with square root filter and fused the spherical simplex radial rule (SSRR) into information filter.
Wenyan Guo, Hualei Ling
openaire   +1 more source

Square root filtering via covariance and information eigenfactors

Automatica, 1986
Two new square root Kalman filtering algorithms are presented. Both algorithms are based on the spectral V-\(\Lambda\) of the covariance matrix where V is the matrix whose columns are the eigenvectors of the covariance and \(\Lambda\) is the diagonal matrix of its eigenvalues. The algorithms use the covariance mode in the time propagation stage and the
Yaakov Oshman, Itzhack Y. Bar-Itzhack
openaire   +1 more source

A Class of Stable Square-Root Nonlinear Information Filters

IEEE Transactions on Automatic Control, 2014
Information filters can process nonlinear systems with uncertain prior knowledge, and the particular square-root form of adaptive filters can improve numerical stability. Based on a square-root decomposition of information matrix and an extra positive definite matrix, the unscented transform and the cubature rule are applied to the information ...
Shiyuan Wang, Jiuchao Feng, Chi Kong Tse
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A systolic square root information Kalman filter

[1988] Proceedings. International Conference on Systolic Arrays, 2003
An alternative square-root-information Kalman filter algorithm based on orthogonal transformation is described and proved mathematically. The filter can be realized on a rectangular systolic array using n(n+1) processing cells and takes 3n+m timesteps between measurements. Comparisons are made with recent work of M.J. Chen and K.
F.M.F. Gaston, G.W. Irwin
openaire   +1 more source

A decentralized square root information filter/smoother

1985 24th IEEE Conference on Decision and Control, 1985
In this paper we present a new method for combining linear least squares estimates obtained from independent data sets. A bank of Square Root Information Filters (SRIF) is used to generate these "local" estimates as well as their corresponding smoothing coefficients which can be merged after each predictive step to obtain globally optimal smoothing ...
Gerald Bierman, Mitchell Belzer
openaire   +1 more source

Improved square-root cubature information filter

Transactions of the Institute of Measurement and Control, 2016
In this paper, a theoretical comparison between existing the sigma-point information filter (SPIF) framework and the unscented information filter (UIF) framework is presented. It is shown that the SPIF framework is identical to the sigma-point Kalman filter (SPKF).
Yulong Huang, Yonggang Zhang, Ning Li, Lin Zhao   +3 more
openaire   +1 more source