Compressive spectral estimation methods using a noise reference

Douglass, Alexander S.; Dowling, David R.

doi:10.1121/1.5014343

Cited by 2 publications

(1 citation statement)

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“…minimized, which means , as the minimum mean square error, tends to be , so that the best-case scenario is = 0 (4) So = (5) From formulas (4) and 5, it can be seen that adaptive filtering is capable to extract the defect from the noise as long as the reference signal related to the noise in the MFL signal and independent of the defect is obtained. However, it requires some skills to find a reasonable reference signal [18]. In this study, it is proposed that the MFL signals of the array sensors are applied to extract the voltage amplitude with the smallest absolute value at each moment to construct a virtual channel, which is the complete reference signal.…”

Section: The Methodology Of the Adaptive Noise Cancellermentioning

confidence: 99%

Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection

Wang

Jia

et al. 2021

IEEE Access

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Magnetic flux leakage (MFL) detection technology provides an effective method to conduct high-speed detection of the damage suffered by rail surface. With regard to high-speed detection, there is frequently a complex noise contained in the magnetic signal of railway leakage, which is similar to the amplitude of defect and the overlaps of frequency spectrum. In this paper, an improved adaptive filtering method is proposed to solve the problem caused by filtering the MFL signal on the rail top surface. Through the characteristics of distribution shown by defects on the top surface of the railway and those of the data collected by the rail top array sensor, this method is applied to construct a virtual channel containing almost only interference signals but no defects. Then, in combination with the adaptive filtering algorithm, the virtual channel signal is taken as the reference input of the adaptive canceller, each single channel MFL signal is taken as the original input of the adaptive canceller, and the filtered MFL signal is taken as the output. Then, the MFL signal of rail top is collected by the train at the speed of 30km / h on the manual calibration line. According to the experimental results, the noise intensity of MFL signal is reduced by up to 81.44%. In addition, the filtering method is adopted to process MFL signals with different directions and varying detection speed. As indicated by the results, the noise intensity of MFL signal is reduced by more than 74%. INDEX TERMS High speed rail detection; Magnetic flux leakage signal; Adaptive filtering algorithm; Reference signal; Adaptive noise canceller. KAILUN JI received the B.Eng. and the M.S. degree in techniques and instruments of measurement from the Nanjing University of Aeronautics and Astronautics, China, in 2016 and 2020. He is currently pursuing the Ph.D. degree at the Nanjing University of Aeronautics and Astronautics of China. His research interests include nondestructive testing, signal processing and system modeling.

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Section: The Methodology Of the Adaptive Noise Cancellermentioning

confidence: 99%

Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection

Wang

Jia

et al. 2021

IEEE Access

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Ray-tracing-based time-domain wideband fractional delay beamforming for underwater acoustic positioning

Yuan

et al. 2019

MATEC Web Conf.

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Underwater acoustic positioning systems are essential for underwater vehicles positioning and navigation. In this paper, a time-domain wideband fractional delay beamforming (WFDB) technique is proposed to improve underwater localization capability of planar arrays. In our method, digital delay lines are combined with adaptive-finite-impulse-response filters to achieve high accuracy beamforming results and reduce the design burden of the WFDB systems. Further, the beamforming results are used in the ray-tracing method to eliminate curvature effect of sound rays caused by the inhomogeneity of water, and therefore improving the computation accuracy of target position. We further develop a hexagonal planar array of 30 elements to verify the WFDB method in an indoor experimental pool. The experimental results demonstrate that the proposed method could successfully mitigate the ray bending problem and accurately estimate the position of targets in low SNR condition.

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Compressive spectral estimation methods using a noise reference

Cited by 2 publications

References 0 publications

Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection

Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection

Ray-tracing-based time-domain wideband fractional delay beamforming for underwater acoustic positioning

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