Investigation of optical current transformer signal processing method based on an improved Kalman algorithm

Yan Shen; Jin-ming Ge; Guo-qing Zhang; Wen-bin Yu; Rui-tong Liu; Wei Fan; Ying-xuan Yang

doi:10.1117/1.OE.57.1.013103

19 January 2018 Investigation of optical current transformer signal processing method based on an improved Kalman algorithm

Yan Shen, Jin-ming Ge, Guo-qing Zhang, Wen-bin Yu, Rui-tong Liu, Wei Fan, Ying-xuan Yang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 1, 013103 (January 2018). https://doi.org/10.1117/1.OE.57.1.013103

Abstract

This paper explores the problem of signal processing in optical current transformers (OCTs). Based on the noise characteristics of OCTs, such as overlapping signals, noise frequency bands, low signal-to-noise ratios, and difficulties in acquiring statistical features of noise power, an improved standard Kalman filtering algorithm was proposed for direct current (DC) signal processing. The state-space model of the OCT DC measurement system is first established, and then mixed noise can be processed by adding mixed noise into measurement and state parameters. According to the minimum mean squared error criterion, state predictions and update equations of the improved Kalman algorithm could be deduced based on the established model. An improved central difference Kalman filter was proposed for alternating current (AC) signal processing, which improved the sampling strategy and noise processing of colored noise. Real-time estimation and correction of noise were achieved by designing AC and DC noise recursive filters. Experimental results show that the improved signal processing algorithms had a good filtering effect on the AC and DC signals with mixed noise of OCT. Furthermore, the proposed algorithm was able to achieve real-time correction of noise during the OCT filtering process.

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Yan Shen, Jin-ming Ge, Guo-qing Zhang, Wen-bin Yu, Rui-tong Liu, Wei Fan, and Ying-xuan Yang "Investigation of optical current transformer signal processing method based on an improved Kalman algorithm," Optical Engineering 57(1), 013103 (19 January 2018). https://doi.org/10.1117/1.OE.57.1.013103

Received: 3 August 2017; Accepted: 20 December 2017; Published: 19 January 2018

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KEYWORDS

Filtering (signal processing)

Optical coherence tomography

Signal processing

Interference (communication)

Signal to noise ratio

Electronic filtering

Transformers

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