Accurate Near-Field Millimeter-Wave Imaging of Concave Objects—A Case Study of Dihedral Structures Under Monostatic Array Configurations

Liang, Bingyuan; Shang, Xiaozhou; Zhuge, Xiaodong; Miao, Jungang

doi:10.1109/tgrs.2019.2957315

Cited by 17 publications

(11 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our simulation, the target dihedral with a 40 • opening angle (ϕ = 20 • ) has edge length L of 0.3 m, scanning angle θ sca of the multi-monostatic transceiver varing from −60 • to 60 • with 0. to analyze the cause of artifacts and the received echoes are simulated in EM high-frequency approximation SBR+ algorithm from 2 to 40 GHz in electromagnetic simulation software Ansys HFSS. Since it has been shown in [24] that even reflections cannot reconstruct the target edge's length correctly, in this paper we use circularly polarized transceivers to filter out even reflections [32] and only use odd reflections for target reconstruction.…”

Section: Artifact Analysismentioning

confidence: 99%

“…[23] exploits two reflections for target reconstruction, which extends the visible range of the target, but still fails to provide a complete reconstruction of the concave target because it does not utilize all the high-order reflection information. [24] chooses a typical near-field monostatic cylindrical imaging scenario with dihedral structures for discussion, investigates the mechanism of multiple reflections and the causes of artifacts in traditional methods, establishes a forward model containing multiple reflections using the shooting and bouncing rays (SBRs) method [25]- [28], and proposes a new image reconstruction algorithm. The algorithm has also been effectively extended to the multi-station cases [29], [30].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Shape Reconstruction of Concave Objects Based on High-Order Boundary Scattering Transform for Millimeter-Wave Near-Field Imaging

Yang,

Zhuge,

Qiao

2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Millimeter-wave near-field imaging provides a promising solution for potential sensing applications. Although in many cases only the shape of the object is required, the conventional method often carries out a full image reconstruction of the target, thus suffers from slow imaging speed and high computational complexity. Moreover, conventional imaging results exhibit severe artifacts when facing complex concave targets due to high-order scattering. Both problems pose a significant obstacle for achieving sufficient accuracy in target recognition. To address these issues, this paper proposes a new shape reconstruction technique for millimeter-wave imaging of complex concave objects based on a high-order boundary scattering transform (HBST). Target contours are directly obtained by establishing a transform formula between the received wavefront under multiple reflections and the target boundaries. Multiple reflections propagation omitted in conventional imaging are fully included in the derivation of the HBST. Numerical simulations and experimental results are presented to verify the applicability and effectiveness of the proposed technique for dihedral-like structures.

show abstract

Section: Artifact Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shape Reconstruction of Concave Objects Based on High-Order Boundary Scattering Transform for Millimeter-Wave Near-Field Imaging

Yang,

Zhuge,

Qiao

2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bi-static/multi-static imaging can effectively suppress high-order artifacts of concave objects Liang et al [11]; Gonzalez-Valdes et al [12]. For mono-static configurations, the concept of shooting and bouncing rays method is used to build a more accurate analytical forward model, which contributes to producing accurate images without strong high-order scattering Liang et al [13]. The stationary phase method and circularly polarized measurements are used to correct the image deformation of edges for dihedral structures Si et al [14].…”

Section: Introductionmentioning

confidence: 99%

Artifact suppression using cross-circular polarization for millimeter-wave imaging

Qiu

Zhang

et al. 2023

Front. Phys.

View full text Add to dashboard Cite

Millimeter-wave imaging is widely applied to radar detection, personnel security inspection, environmental perception, and so on. Multipath artifact is a common phenomenon in active millimeter-wave (AMMW) imaging and is difficult to be removed. The suppression methods in image reconstruction and post-processing stage are usually complex or time-consuming. This report proposes a cross-polarization method to suppress multipath artifacts between equivalent two-cylinder structures before image reconstruction. The physical mechanisms of co-polarization and cross-polarization imaging are revealed. The suppression effectiveness is demonstrated by conducting W-band AMMW imaging simulation and measurement experiments of a typical multipath scenario at the central frequency of 100 GHz (97 ∼103 GHz). The proposed method can directly reconstruct the image with artifact suppression and reduce the pressure of post-processing.

show abstract

“…M ICROWAVE and sub-millimeter wave imaging for target detection has been developed in last two decades, it faces low spatial resolution due to low operation frequency [1]- [6]. THz wave, referring to the frequency band between 100 GHz and 10 THz, has a short wavelength, non-ionizing characteristic and strong penetrating ability which is promising to applications for target detection or personnel screening [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

Advanced THz MIMO Sparse Imaging Scheme Using Multipass Synthetic Aperture Focusing and Low-Rank Matrix Completion Techniques

Shu

Alfadhl

et al. 2022

IEEE Trans. Microwave Theory Techn.

View full text Add to dashboard Cite

This paper proposes an advanced THz multipleinput-multiple-output (MIMO) near-field sparse imaging scheme for target detection that uses single-pass synthetic aperture focusing and multi-pass interferometric synthetic aperture focusing techniques to improve imaging effectiveness and efficiency. It benefits from the MIMO of linear sparse periodic array (SPA) and random sparse imaging to reduce sampling data as well as system cost. Both simulated and proof-of-concept experimental results have verified the scheme, revealing that the single-pass synthetic aperture imaging approach is sufficient to identify pure metallic targets with 3.87% of λ/2 sampling data. And multi-pass interferometric synthetic aperture imaging approach is capable of improving image quality on image signal to noise ratio and contrast, which is ideal for detecting more challenging targets. The random sparse imaging with help of low rank matrix completion (LRMC) technique has shown promising potential of achieving equivalent image quality when further reducing 43.75% data in the experiment of 5-pass imaging on a complex target, this corresponds to 82.51% data reduction compared to λ/2 sampling.

show abstract

Accurate Near-Field Millimeter-Wave Imaging of Concave Objects—A Case Study of Dihedral Structures Under Monostatic Array Configurations

Cited by 17 publications

References 32 publications

Shape Reconstruction of Concave Objects Based on High-Order Boundary Scattering Transform for Millimeter-Wave Near-Field Imaging

Shape Reconstruction of Concave Objects Based on High-Order Boundary Scattering Transform for Millimeter-Wave Near-Field Imaging

Artifact suppression using cross-circular polarization for millimeter-wave imaging

Advanced THz MIMO Sparse Imaging Scheme Using Multipass Synthetic Aperture Focusing and Low-Rank Matrix Completion Techniques

Contact Info

Product

Resources

About