Hardware Implementation of Polyphase-Decomposition-Based Wavelet Filters for Power System Harmonics Estimation

Computational time and hardware resource are key issues in hardware implementation of any signal-processing algorithm. This paper presents the design and implementation of a polyphase-decomposition-based new architecture of wavelet filter for power system harmonics estimation using discrete wavelet...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement Vol. 65; no. 7; pp. 1585 - 1595
Main Authors: Tiwari, Vinay K., Jain, Sachin K.
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9456, 1557-9662
Online Access:Get full text
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Summary:Computational time and hardware resource are key issues in hardware implementation of any signal-processing algorithm. This paper presents the design and implementation of a polyphase-decomposition-based new architecture of wavelet filter for power system harmonics estimation using discrete wavelet packet transform (DWPT). Usually, DWPT provides coefficients as the output; however, the proposed architecture also includes provision for providing root mean square values directly. The proposed method reduces computational requirements and save memory resources. Xilinx system generator, a higher abstraction level tool, has been used to simulate and implement the proposed scheme on the Xilinx Artix-7 field-programming gate array AC701 board. Performance of the proposed architecture has been validated and compared through hardware cosimulation with variety of synthetic and experimental signals.
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ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2016.2540861