E-Textile Metamaterials: Stop Band Pass Filter

Moradi, Bahareh; Fernández‐García, Raúl; Gil, Ignacio

doi:10.3390/app112210930

Cited by 5 publications

(5 citation statements)

References 19 publications

(22 reference statements)

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“…Usually, the different acquired frequency GPR data contain some disturbing noise and random errors. To eliminate the disturbing information and obtain better fusion results, the data preprocess sequences are mainly dealt with using a band-pass filter and zero offset elimination [29,30].…”

Section: Preprocessmentioning

confidence: 99%

Multi-Frequency GPR Data Fusion through a Joint Sliding Window and Wavelet Transform-Weighting Method for Top-Coal Structure Detection

Guan,

Liu

2024

Applied Sciences

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Top-coal structure detection is an important basis for realizing effective mining in fully mechanized cave faces. However, the top-coal structure is very complex and often contains multi-layer gangues, which seriously influence the level of effective mining. For these reasons, this paper proposes a novel multi-frequency ground-penetrating radar (GPR) data-fusing method through a joint sliding window and wavelet transform weighting method to accurately detect the top-coal structure. It possesses the advantages of both high resolution and great detection depth, and it can also integrate multi-frequency GPR data into one composite profile to interpret the internal structure information of top coal in detail. The detection procedure is implemented following several steps: First of all, the multi-frequency GPR data are preprocessed and aligned through a band-pass filter and a zero offset elimination method to establish their spatial correspondences. Secondly, the proposed method is used to determine the time-varying weight values of each frequency GPR signal according to the wavelet energy proportion within the sliding window; also, the edge detection algorithm is introduced to improve the fusion efficiency of the wavelet transform so as to realize the effective fusion of the multi-frequency GPR data. Thirdly, a reflection intensity model of multi-frequency GPR signals traveling in the top-coal is established by using the stratified identification method, and then, the detailed top-coal structure can be inversely interpreted. Finally, the quantitative evaluation criteria, information entropy (IE), space–frequency (SF) and Laplacian gradient (LG), are used to evaluate the multi-frequency GPR data fusion’s effectiveness in laboratory and field environments. The experimental results show that, compared with the genetic, time-varying and wavelet transform fusion method, the fusion performance of the presented method possesses higher values in the IE, SF and LG evaluation criteria, and it also has both the merits of high resolution and great detection depth.

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Section: Preprocessmentioning

confidence: 99%

Multi-Frequency GPR Data Fusion through a Joint Sliding Window and Wavelet Transform-Weighting Method for Top-Coal Structure Detection

Guan,

Liu

2024

Applied Sciences

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“…Different flexible substrates have been reported in the literature to fabricate wearable microstrip filters 17–21 . Stop bandpass filter using E‐textile metamaterials was reported 17 .…”

Section: Introductionmentioning

confidence: 99%

“…16 Different flexible substrates have been reported in the literature to fabricate wearable microstrip filters. [17][18][19][20][21] Stop bandpass filter using E-textile metamaterials was reported. 17 Microstrip low-pass filter was fabricated on a flexible dielectric polymide film substrate.…”

Section: Introductionmentioning

confidence: 99%

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Polyester‐based wearable bandpass microstrip filter

Joshi¹,

Raghavan

Pattnaik

2023

Micro & Optical Tech Letters

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In this research paper, a polyester‐based bandpass microstrip filer is proposed. Split ring resonator, stepped‐impedance resonator structure, and coupled microstrip lines are used to design the proposed filter circuit in the pass band of 4.35 to 4.60 GHz for NATO frequency band military applications. The filter is fabricated using polyester substrate and self‐adhesive copper tape. The Agilent vector network analyzer is used to test the fabricated polyester wearable filter. There is good agreement between the simulated as well as measured insertion loss and return loss of the proposed wearable filter.

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“…A paper by Moradi et al investigated a stop band filter implemented on a compact embroidered metamaterial e-textile [3]. The device featured a fully embroidered conductive thread transmission line based on a cotton substrate.…”

mentioning

confidence: 99%