An improved EMD noise reduction method based on noise statistical characteristics

doi:10.13474/j.cnki.11-2246.2020.0357

Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (11): 71-75.doi: 10.13474/j.cnki.11-2246.2020.0357

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An improved EMD noise reduction method based on noise statistical characteristics

LU Tieding¹, QIAN Wenlong¹, HE Xiaoxing^2,3, LE Ying¹, HUANG Jiawei¹

1. School of Surveying and Mapping Engineering, East China University of Technology, Nanchang 330013, China;
2. School of Civil Engineer and Architecture, East China Jiao Tong University, Nanchang 330013, China;
3. State Key Laboratory of Rail Transit Engineering Informatization, Xi'an 710000, China

Received:2019-12-06 Online:2020-11-25 Published:2020-11-30

Abstract

Abstract: The GPS elevation time series usually contains noise, which easily affects the accuracy of GPS signal solution. In view of this problem, this paper proposes an improved EMD noise reduction method based on the statistical characteristics of noise. Firstly this method decomposes the signal by EMD to obtain two parts of low-frequency signal and high-frequency noise. Then randomly shuffles the high-frequency noise part twice and accumulates with the original high-frequency noise to obtain the average value. Finally, it compares with the low-frequency signal add up to form a new signal and perform EMD decomposition again to extract the useful signal. Verification is performed using simulated data and measured GPS elevation time series data from WUHN stations. The experimental results show that when the signal-to-noise ratio is relatively high, the noise reduction effect obtained by this method is better.

Key words: EMD, elevation time series, statistical characteristics, noise reduction analysis

CLC Number:

P228.4

LU Tieding, QIAN Wenlong, HE Xiaoxing, LE Ying, HUANG Jiawei. An improved EMD noise reduction method based on noise statistical characteristics[J]. Bulletin of Surveying and Mapping, 2020, 0(11): 71-75.

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An improved EMD noise reduction method based on noise statistical characteristics

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