压缩感知动态测试信号模型与电能表动态误差测试*

文中针对智能电能表动态误差的高效测试问题，分析了长时间范围内复杂动态负荷信号幅度域的快速随机波动特性，建立了压缩感知伪随机动态负荷测试信号的模型，采用Hadamard矩阵和降采样矩阵结合的测量矩阵构建方法，确定了该测试信号的模型参数，提出了压缩感知测量信号的产生方案。采用试验方法，对比给出了压缩感知和m序列动态测试信号条件下电能表动态测试的误差数据。研究结果表明相比较于m序列伪随机测试信号，压缩感知动态测试信号的动态误差测试效率提高了4倍。

Compressive sensing dynamic test signal model and dynamic error test of electricity meter

Aiming at the problem of efficient measurement of dynamic error of intelligent electricity meters, firstly, in amplitude domain, the characteristics of fast random fluctuation of complex dynamic load signals are analyzed over a long period of time; Secondly, the model of compressed sensing pseudo-random dynamic load test signal is established, and then the measurement matrix construction method combining Hadamard matrix and the down-sampling matrix is adopted to determine the model parameters of the test signal, and a scheme for generating compressed sensing measurement signal is proposed. Finally, by means of the experimental test method, the dynamic error data of the electricity meter under the conditions of compressed sensing and m-series dynamic test signals are compared. The results show that the dynamic error test efficiency of the compressed sensing dynamic test signal is 4 times higher than that of the m-sequence pseudo-random test signal.