Guang-Ming Yan

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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)
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)
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