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| Signal Denoising Method Based on Regularized Chirp Mode Pursuit Algorithm and Its Applications |
| SHANGGUAN Jia-xin1,ZHANG Shu-qing1,ZHENG Long-jiang1,Jiang An-qi1,AI Hong-ke2,ZHANG Li-guo1,LIU Hai-tao1 |
1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Tangshan Power Supply Company of North Hebei Electric Power Co. Ltd, Tangshan, Hebei 063000, China |
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Abstract The noise in the signal acquisition process will cause a certain degree of difficulty to the follow-up work, so the elimination of noise interference is the key problem for the accurate next work. A regularized chirp mode pursuit (RCMP) algorithm is proposed. The algorithm extracts each chirp mode from the signal through a priori frequency information and a recursive framework, which has a certain degree of adaptability. The proposed RCMP algorithm is applied to the noise reduction of sensor data, and the noise reduction performance of the RCMP algorithm is studied through simulatd signals and actual signals. At the same time, the feasibility and superiority of the proposed method are verified by comparing the noise reduction method with EMD combined with interval threshold, CEEMDAN combined with interval threshold and VMD combined with correlation coefficient.
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Received: 15 March 2021
Published: 30 June 2022
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2022, Vol. 43 
