A new multipath mitigation method based on adaptive thresholding wavelet denoising and double reference shift strategy

Su, Mingkun; Zheng, Jiansheng; Yang, Ya‐Nan; Wu, Qiuji

doi:10.1007/s10291-018-0708-z

Cited by 61 publications

(26 citation statements)

References 37 publications

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“…The accuracy and effectiveness of the proposed wavelet packet transform method were sufficient for monitoring purposes, which were validated by applying to denoise simulation data and in‐site real monitoring data (Figure ). With satisfactory results, other researches of applying WT technique to reduce the GNSS measurement noise had been performed by Meo et al, Psimoulis et al, Kaloop et al, Su et al and so on.…”

Section: Noise Reduction and Information Extractionmentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

108

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Summary Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.

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Section: Noise Reduction and Information Extractionmentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

108

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“…Wavelet-based technology has been widely applied to signal denoising. Based on Wavelet Threshold Denoising (WTD) technology, Mingkun Su et al [ 30 ] dealt with the multipath interference problem of high precision positioning of global navigation satellite systems. Zhu.…”

Section: Introductionmentioning

confidence: 99%

Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy

Lei

2019

Entropy

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The continuous casting process is a continuous, complex phase transition process. The noise components of the continuous casting process are complex, the model is difficult to establish, and it is difficult to separate the noise and clear signals effectively. Owing to these demerits, a hybrid algorithm combining Variational Mode Decomposition (VMD) and Wavelet Threshold denoising (WTD) is proposed, which involves multiscale resolution and adaptive features. First of all, the original signal is decomposed into several Intrinsic Mode Functions (IMFs) by Empirical Mode Decomposition (EMD), and the model parameter K of the VMD is obtained by analyzing the EMD results. Then, the original signal is decomposed by VMD based on the number of IMFs K, and the Mutual Information Entropy (MIE) between IMFs is calculated to identify the noise dominant component and the information dominant component. Next, the noise dominant component is denoised by WTD. Finally, the denoised noise dominant component and all information dominant components are reconstructed to obtain the denoised signal. In this paper, a comprehensive comparative analysis of EMD, Ensemble Empirical Mode Decomposition (EEMD), Complementary Empirical Mode Decomposition (CEEMD), EMD-WTD, Empirical Wavelet Transform (EWT), WTD, VMD, and VMD-WTD is carried out, and the denoising performance of the various methods is evaluated from four perspectives. The experimental results show that the hybrid algorithm proposed in this paper has a better denoising effect than traditional methods and can effectively separate noise and clear signals. The proposed denoising algorithm is shown to be able to effectively recognize different cast speeds.

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“…Baseline drift and random noise are common degradation problems in signal detection [5, 6]. Several methods based on various theories have been developed to solve these two problems.…”

Section: Introductionmentioning

confidence: 99%

A general-purpose signal processing algorithm for biological profiles using only first-order derivative information

Liu

Lin

2019

BMC Bioinformatics

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BackgroundAutomatic signal-feature extraction algorithms are crucial for profile processing in bioinformatics. Both baseline drift and noise seriously affect the position and peak area of signals. An efficient algorithm named the derivative passing accumulation (DPA) method for simultaneous baseline correction and signal extraction is presented in this article. It is an efficient method using only the first-order derivatives which are obtained through taking the simple differences.ResultsWe developed a new signal feature extracting procedure. The vector representing the discrete first-order derivative was divided into negative and positive parts and then accumulated to build a signal descriptor. The signals and background fluctuations are easily separated according to this descriptor via thresholding. In addition, the signal peaks are simultaneously located by checking the corresponding intervals in the descriptor. Therefore, the eternal issues of parsing the 1-dimensional output of detectors in biological instruments are solved together. Thereby, the baseline is corrected, and the signal peaks are extracted.ConclusionsWe have introduced a new method for signal peak picking, where baseline computation and peak identification are performed jointly. The testing results of both authentic and artificially synthesized data illustrate that the new method is powerful, and it could be a better choice for practical processing.

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A new multipath mitigation method based on adaptive thresholding wavelet denoising and double reference shift strategy

Cited by 61 publications

References 37 publications

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy

A general-purpose signal processing algorithm for biological profiles using only first-order derivative information

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