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- W2920345661 abstract "A novel total variation (TV) framework is conceived for joint detection and dynamic state estimation (JDSE) for wireless transmission from the measurement devices to the control center in a smart grid. The proposed scheme employs a TV regularization based decoder in conjunction with a Kalman filter-based dynamic power system state estimator to minimize the detection error for transmission of the measurements over a fading wireless channel. A novel application of the Viterbi algorithm is proposed for TV detection of the received measurement vectors. Furthermore, the proposed JDSE scheme is also extended to a system in which each measurement is quantized to a single bit. This reduced-bandwidth-based TV-JDSE leads to a significant bandwidth efficiency improvement in the smart grid and to improved state estimation. Our simulation results provided for the standard IEEE-14 bus test system under different operating conditions demonstrate improved performance in comparison to conventional techniques and they are capable of approaching the ideal Clairvoyant Kalman filter benchmark." @default.
- W2920345661 created "2019-03-11" @default.
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- W2920345661 date "2019-01-01" @default.
- W2920345661 modified "2023-10-15" @default.
- W2920345661 title "Total Variation Based Joint Detection and State Estimation for Wireless Communication in Smart Grids" @default.
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- W2920345661 doi "https://doi.org/10.1109/access.2019.2902325" @default.
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