Auxiliary Particle Filter–Based Multisensor Data Fusion for Quantification of Corrosion in Aerostructures

Ahmad, S. Taufeeq; Khan, Tariq Amin; Yousuf, Waleed Bin

doi:10.1520/jte20180705

Cited by 4 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e Monte Carlo method is its central idea, and probability is expressed by the particle set, which is widely used in practice [15,16]. In the positioning process, in order to obtain more stable and superior effects, we can also use some learning strategies to match with filtering algorithms, such as the BP neural network, ELM, and LS-SVM.…”

Section: Introductionmentioning

confidence: 99%

ELM-Assisted Particle Filter for INS/UWB-Integrated Quadrotor Positioning

Wang³

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

At present, with the wide application of the quadrotor, accurate positioning has become an increasingly important problem and needs to be considered. In this study, the inertial navigation system (INS) and ultra-wideband (UWB) technology are used together to collect the flight data of the quadrotor, and the particle filter (PF) algorithm will be employed to fuse the data information of the two sensors for reducing the error and obtaining the movement path of the quadrotor in the three dimensional (3D) space. Meanwhile, for making PF work more accurate, the extreme learning machine (ELM) is adopted to map the equation of state in the filtering process to make position information more reliable. In addition, ELM can also establish a new signal through mapping when UWB’s signal is interrupted, so that the whole system can work normally. To verify the effectiveness of the proposed method, a real experiment was carried out. The experimental results show that the ELM-assisted PF strategy has a good effect on INS/UWB-integrated navigation quadrotor positioning. When UWB signals are normal, compared with the single PF, the ELM-assisted PF is able to improve positioning accuracy by about 18.44%. When UWB’s signal is interrupted, compared with the least square support vector machine- (LS-SVM-) assisted PF, the ELM-assisted PF could improve positioning accuracy by about 1.15 m. On the whole, the proposed design algorithm not only improves the positioning accuracy but also can predict UWB’s signal when it is interrupted and thus make the filter work normally.

show abstract

Section: Introductionmentioning

confidence: 99%

ELM-Assisted Particle Filter for INS/UWB-Integrated Quadrotor Positioning

Wang³

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The approximation-based PF method is particularly suitable to cope with nonlinear/uncertain/non-Gaussian systems for which the PDFs of the system states are difficult (or even impossible) to be accurately calculated. In practical systems, PFs have found many successful applications such as simultaneous localization and mapping [38], price prediction [29], corrosion quantification [1], polyp detection [33], and so on.…”

Section: Introductionmentioning

confidence: 99%