Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging

Li, Yinchuan; Wang, Xiaodong; Ding, Zegang; Zhang, Xu; Yin, Xiang; Yang, Xiaopeng

doi:10.1109/tgrs.2019.2907801

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…For the radar interference echo filling problem, Ramamurthy et al [18] proposed an interference echo filtering method based on the minimum mean squared error criterion, and then used interpolation for echo filling to recover the echo intensity, so it has good performance for weather variable evaluation. To address the problem of missing target information due to excessive elimination of interference echoes before generating radar profiles, Li et al [19] suggested a linear fitting method, which accurately locates the missing information of the target and fills it. Cavallaro et al [20] introduced a stochastic model of dualpolarized weather radar echoes so as to verify the confidence of the radar interference echo representation for optimal echo filling.…”

Section: Traditional Methods Of Meteorological Data Quality Controlmentioning

confidence: 99%

Cloud–edge cooperation for meteorological radar big data: a review of data quality control

Zhang

et al. 2021

Complex Intell. Syst.

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With the rapid development of information technology construction, increasing specialized data in the field of informatization have become a hot spot for research. Among them, meteorological data, as one of the foundations and core contents of meteorological informatization, is the key production factor of meteorology in the era of digital economy as well as the basis of meteorological services for people and decision-making services. However, the existing centralized cloud computing service model is unable to satisfy the performance demand of low latency, high reliability and high bandwidth for weather data quality control. In addition, strong convective weather is characterized by rapid development, small convective scale and short life cycle, making the complexity of real-time weather data quality control increased to provide timely strong convective weather monitoring services. In order to solve the above problems, this paper proposed the cloud–edge cooperation approach, whose core idea is to effectively combine the advantages of edge computing and cloud computing by taking full advantage of the computing resources distributed at the edge to provide service environment for users to satisfy the real-time demand. The powerful computing and storage resources of the cloud data center are utilized to provide users with massive computing services to fulfill the intensive computing demands.

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Section: Traditional Methods Of Meteorological Data Quality Controlmentioning

confidence: 99%

Cloud–edge cooperation for meteorological radar big data: a review of data quality control

Zhang

et al. 2021

Complex Intell. Syst.

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“…This paper applies the RTM to target imaging of through-wall radar(TWR) [9,10], as the wave equations of electromagnetic waves and seismic waves share similarity. While some low-frequency noise is removed by wave field decomposition in the imaging result, multipath effect and background clutter still make some noise component in the results, which affects the image quality [11,12]. Singular value decomposition (SVD) is an important matrix factorization in linear algebra, which is often used for denoising [13,14].…”

Section: Introductionmentioning

confidence: 99%

Improved reverse-time migration for electromagnetic waves imaging

Wei,

Chen,

Kuang

2023

International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023)

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“…However, due to the complexity of the scattering scenario, the radar signal undergoes multipath propagation phenomena. These typically manifest themselves as environmental clutter, which may impair the detection and tracking of actual targets [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A compact quasi-Yagi antenna for FMCW radar-on-chip-based through-wall imaging

Kumar

Easha

Sarkar

et al. 2023

Int. J. Microw. Wireless Technol.

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A compact quasi-Yagi antenna with a modified ground plane is designed for a through-wall radar on-chip. A slot-based ground plane modification in the proposed antenna results in significant miniaturization with an increase in the impedance bandwidth by 44.62%. The antenna has a high directivity of 9.02 dBi and a front-to-back ratio of 25.76 dB at 2.4 GHz. Based on experiments in real-world deployment scenarios, the performance of the proposed quasi-Yagi antenna is found to be comparable to that of a Vivaldi antenna and a commercial-off-the-shelf horn antenna. Spectrogram-based signatures of a moving person behind a wooden partition and a 40 cm thick masonry wall are successfully obtained using the designed antenna, demonstrating the suitability of the quasi-Yagi antenna for portable applications using a radar-on-chip.

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Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging

Cited by 9 publications

References 42 publications

Cloud–edge cooperation for meteorological radar big data: a review of data quality control

Cloud–edge cooperation for meteorological radar big data: a review of data quality control

Improved reverse-time migration for electromagnetic waves imaging

A compact quasi-Yagi antenna for FMCW radar-on-chip-based through-wall imaging

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