In this study, the authors propose a robust adaptive algorithm for frequency estimation in three-phase power systems when the voltage readings are corrupted by random noise sources. The proposed algorithm employs the ...
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In this study, the authors propose a robust adaptive algorithm for frequency estimation in three-phase power systems when the voltage readings are corrupted by random noise sources. The proposed algorithm employs the Clarke's transformed three-phase voltage (a complex signal) and augmented complex statistics to deal with both of balanced and unbalanced system conditions. To derive the algorithm, a widely linear predictive model is assumed for the Clarke's transformed signal where the frequency of system is related to the parameters of this model. To estimate the model parameters with noisy voltage reading, they utilise the notions of maximum correntropy criterion and gradient-ascent optimisation. The proposed algorithm has the computational complexity of the popular complex least-mean-squares (Clms) algorithm, along with the robustness that is obtained by using higher-order moments beyond just second-order moments. They compare the performance of the proposed algorithm with a recently introduced augmented Clms (AClms) algorithm in different conditions, including the voltage sags and presence of impulsive noises and and higher-order harmonics. Their simulation results demonstrate that the proposed algorithm provides improved frequency estimation performance compared with AClms especially when the measured voltages are corrupted by impulsive noise.
In this paper a novel approach is made to design a real-time adaptive equalizer based on Least Mean Square (lms) adaptive algorithms in hardware domain. The FPGA platform is used to model the digital circuitry of the ...
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ISBN:
(纸本)9781467369817
In this paper a novel approach is made to design a real-time adaptive equalizer based on Least Mean Square (lms) adaptive algorithms in hardware domain. The FPGA platform is used to model the digital circuitry of the equalizer. A new and simple technique known as "Hardware Co-simulation" is used to configure XC6SLX45 FPGA board. In the initial phase of designing, additive white Gaussian noise (AWGN) channel is used to add noise. In the second phase Rayleigh fading channel is used since the wireless transmission scenario resembles the Rayleigh fading channel. Digital circuitry for AWGN channel requires only real valued computation whereas Rayleigh channel requires complex valued computation. According to the literature survey, limited research work has been done in hardware domain on adaptive equalizer. Therefore the objective of this work is to implement adaptive equalizer in FPGA platform and have a real-time analysis of the equalizer in the hardware domain.
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