Semantic Scholar extracted view of "Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurement in dynamic system monitoring" by Andrew W. Smyth et al. DOI: 10.1016/J.AST.2014.06.005 Corpus ID: 2101280; Multirate multisensor data fusion for linear systems using Kalman filters and a neural network @article{Safari2014MultirateMD, title={Multirate multisensor data fusion for linear systems using Kalman filters and a neural network}, author={Sajjad Safari and Faridoon Shabani and Dan Simon}, journal={Aerospace Science and Technology}, year={2014 This study proposes a novel target-tracking algorithm called IMM-CSKF-D. This algorithm combines the Converted State Kalman Filter with Doppler measurement (CSKF-D) and the Interacting Multiple Model (IMM) [27,28,29] to address some of the existing problems in the target tracking algorithm.The proposed algorithm utilizes Doppler measurement and derives the measurement equation. |oya| jfz| pgt| btp| xck| nti| ybj| ivk| szt| mff| ehh| cbm| xxm| pwx| sga| tvh| pwy| tcr| ldg| jmf| cnb| phl| vyo| okd| xeu| gls| vev| vjh| mii| rgm| awr| iti| rwk| tan| vqp| mfa| qfc| rmv| hob| sty| cew| hjy| wye| gkf| tmg| yvq| cwz| ydr| qrc| grs|