| 基于压缩感知的电能质量信号重构算法研究 |
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| 引用本文： | 张秀君,俞国军.基于压缩感知的电能质量信号重构算法研究[J].浙江工贸职业技术学院学报,2016(1):30-33. |
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| 作者姓名： | 张秀君 俞国军 |
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| 作者单位： | 1. 浙江商业职业技术学院应用工程学院,浙江杭州,310053;2. 展讯科技杭州有限公司,浙江杭州,310052 |
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| 基金项目： | 浙江商业职业技术学院校级重点基金 |
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| 摘 要： | 为解决传统电能质量信号在采样时面临的采样率高，采样资源浪费和硬件成本高的问题，压缩感知理论被引入到电能质量信号的采样与重构过程。信号的稀疏表示是压缩感知理论中的关键问题，一般选择正交基作为压缩感知中的稀疏变换基。基于多重扰动的电能质量信号，本文提出了基于不同干扰的电能质量模型来选择不同的信号稀疏变换基的压缩感知重构算法。实验证明与整个信号采用单一DCT变换基或FFT变换基的压缩感知重构算法相比，本文提出的方法具有更好的信号重构性能。
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| 关 键 词： | 压缩感知 小波变换 电能质量 信号重构 |
Study on the Reconstruction Algorithms of the Power Quality Signal Based on Compressed Sensing |
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| Abstract: | To solve the problems of high sampling rate and sampling resource waste and high cost of hardware implementation faced by traditional sampling methods of power quality signal, compressed sensing theory was used for sampling and reconstruction of the power quality signal. Sparse representation of signals in compressed sensing has received a lot of attention. Usually, the orthogonal base was chosen as sparse transform base in compressed sensing. Based on multiple disturbance power quality signals, this paper pro-posed the compressed sensing reconstruction algorithms, which the different signal sparse transform bases were chosen based on the different power quality disturbance modes. Compared with the compressed sensing reconstruction algorithms based on single DCT transform or FFT transform base using for the whole signal, experimental results demonstrate that the algorithms proposed by this pa-per had better signal reconstruction performance. |
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| Keywords: | compressed sensing wavelet transform power quality signal reconstruction |
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