Guang-Ming Yan

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Based on the measurement fusion algorithm, a fractional order Kalman fuser is presented for the multisensor linear discrete time-varying fractional state-space systems with different measurement matrices and uncorrelated noises. It is rigorously proved that the fuser is numerically identical to the centralized fusion fractional order Kalman estimator, so(More)
For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system(More)
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