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Asynchronous Localization for UASNs: An Unscented Transform-Based Method

IEEE Signal Processing Letters, 2019
This letter is concerned with an asynchronous localization issue for underwater acoustic sensor networks (UASNs), subject to asynchronous clocks and stratification effects in physical channels. A novel unscented transform-based localization algorithm is proposed to estimate the positions of sensor nodes. Instead of linearizing the measurement equations,
Jing Yan, Haiyan Zhao, Yiyin Wang
exaly   +2 more sources

Unscented Transform: A Powerful Tool for Measurement Uncertainty Evaluation

IEEE Transactions on Instrumentation and Measurement, 2006
An original approach for uncertainty evaluation in indirect measurements is presented here in after. The approach applies the unscented transform to the measurement model (i.e. the functional relationship between the output and input quantities) in order to estimate the output expectation along with the associated standard uncertainty.
L Angrisani
exaly   +2 more sources

On the use of the unscented transform for failure prognostics

2011 Aerospace Conference, 2011
Dealing with uncertainty is of uttermost importance in the failure prognostics task. The difficulties in estimating current health state and the unknown future operational conditions are among the reasons that make this consideration so important. Random variables (RV) are the most usual way to represent such uncertainty. In the case of health state of
Bruno P. Leao, Takashi Yoneyama
openaire   +1 more source

The unscented transform: a powerful tool for measurement uncertainty evaluation

Proceedings of the 2005 IEEE International Workshop onAdvanced Methods for Uncertainty Estimation in Measurement, 2005., 2006
No.3, Giugno ...
ANGRISANI, LEOPOLDO   +2 more
openaire   +3 more sources

Comment on “Ensemble Kalman filter with the unscented transform”

Physica D: Nonlinear Phenomena, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Unscented transform for ivector-based noisy speaker recognition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Recently, a new version of the iVector modelling has been proposed for noise robust speaker recognition, where the nonlinear function that relates clean and noisy cepstral coefficients is approximated by a first order vector Taylor series (VTS). In this paper, it is proposed to substitute the first order VTS by an unscented transform, where unlike VTS,
David Martínez González   +5 more
openaire   +1 more source

Novel mobile robot FastSLAM based on unscented transform

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013
This paper proposes a novel FastSLAM based on UT (Unscented Transform). A novel proposal distribution which integrates current observation is proposed, wherein the particles sampled from the proposal distribution based on Unscented Transform is driven to move to the high probability region of posterior distribution.
Rui Lin
exaly   +2 more sources

Accuracy Analysis of Unscented Transformation of Several Sampling Strategies

2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009
UT (Unscented Transformation) has been paid much attention within nonlinear filtering community for its significant accuracy and implementation advantages. Although several sampling strategies for the UT method has been developed, their comparison and analysis is still absent.
Wu Zhang, Min Liu, Zong-gui Zhao
openaire   +1 more source

An Improved Transformed Unscented FastSLAM With Adaptive Genetic Resampling

IEEE Transactions on Industrial Electronics, 2019
Fast simultaneous localization and mapping (FastSLAM) is a well-known study for robot navigation. To enhance the performance of FastSLAM, an improved importance sampling is proposed in this paper based on the transformed unscented Kalman filter.
Mingwei Lin, Canjun Yang, De-jun Li
openaire   +1 more source

Reliability estimation using unscented transformation

2011 3rd International Workshop on Dependable Control of Discrete Systems, 2011
In this paper, we consider the problem of fast reliability analysis with focus on mean and covariance for large-scale systems that consist of components with not necessarily exponential and possibly cross-correlated failure statistics. For its solution we propose to use the unscented transformation, an error-bounded deterministic sampling method known ...
openaire   +1 more source

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