光学电流互感器Sigma点卡尔曼滤波去噪方法研究

随着电力系统向着超高压大容量发展，光学电流互感器（OCT）在电力系统领域具有广阔的应用前景。而有效的滤除噪声，提高信噪比（SNR）是光学电流互感器信号处理的重要环节。本文针对光学电流互感器低信噪比的特性，通过改进的卡尔曼滤波算法建立合适的模型以及通过LabVIEW的仿真验算，表明Sigma点卡尔曼滤波能够有效的滤除噪声和提高光学电流互感器的信噪比。

The research on the Sigma point Kalman Filter algorithm in filtering noise in the optical current transducer (OCT)

With the development of the power system, the optical current transducer (OCT) has broad application prospects in this system. And filtering out the noise effectively, improving the signal noise ratio (SNR) are processing a more and more important part in the OCT signal processing. In this paper, we use the Kalman filter algorithm theory, establish an appropriate model and simulate via LabVIEW to find a way to filter the noise out effectively and improve the SNR of the optical current transducer.