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- W2364602076 abstract "In order to satisfy the accuracy of adaptive filter and the robustness against time-variable noise, a recursive Kalman filter is introduced into the adaptive filter. Furthermore, to eliminate the rounding error in the computation, an approach using the square root matrix decomposed and the noise statistical estimator is proposed to form a new noise statistical square root Kalman adaptive filter. The square root Kalman adaptive filter is applied to form adaptive optical current transducer (AOCT). The performance of AOCT is examined strictly by using the standard testing system authenticated by the state authority according to standard. The results indicate that under the steady state the measurement precision of the AOCT has already reached 0.2 class and under the transient state the maximum peak instantaneous alternating current component error of the AOCT has already reached 1 class. At present, the AOCT has been installed in a substation in Baoding city, Hebei province and has been working continuously for twenty five months." @default.
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- W2364602076 date "2005-01-01" @default.
- W2364602076 modified "2023-09-25" @default.
- W2364602076 title "Square Root Kalman Adaptive Filter and Its Applications on OCT" @default.
- W2364602076 hasPublicationYear "2005" @default.
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