A Low-profile Programmable Beam Scanning Array Antenna

Pan, Shaopeng; Zhu, Shichao; Lin, Mingtuan; Li, Gaosheng

doi:10.1109/icmmt52847.2021.9618229

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…However, we did not solve this problem through examining the physical structure, but instead identified a relationship between the grating lobe and the cell spacing through theoretical analysis, circumventing the grating lobe problem by limiting the cell spacing range. A large grating lobe appears at the corresponding negative steering angle in uniform feed DAAs [24]; therefore, in this study, the grating lobes were suppressed using a nonuniform feed. Another problem with DMA is the beam fixation issue, where there is a fixed beam with greater gain, in addition to the steering beam.…”

Section: Introductionmentioning

confidence: 75%

“…In our previous work [24], we fabricated a 1-D dynamic array antenna which can be directly used to verify the solution of Case 2. Cases 1 and 3 can also be validated experimentally.…”

Section: Measurement Resultmentioning

confidence: 99%

“…Similarly, the grating lobe problem also exists for DAA composed of patch antenna units. Here, the 1-D dynamic patch antenna array [24] with uniform feed proposed in our previous work is used to demonstrate the grating lobe problem, as shown in Figure 1(b).…”

Section: Casementioning

confidence: 99%

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Analyses of Grating Lobe and Beam Fixation Problems of Low-Profile Dynamic Antenna

Liu

Lin

et al. 2022

International Journal of Antennas and Propagation

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Dynamic metasurface antennas (DMAs) and dynamic antenna arrays (DAAs) are emerging concepts in low-profile antenna design, providing alternative structures with lower circuit complexity and power requirements for radar and communication systems. However, dynamic antennas are prone to significant grating lobe and beam fixation problems due to their discrete amplitude and phase control. The reasons behind these issues are explored through mathematical and simulation analysis of three specific cases, and solutions are subsequently proposed and partially experimentally verified.

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Section: Introductionmentioning

confidence: 75%

“…In our previous work [24], we fabricated a 1-D dynamic array antenna which can be directly used to verify the solution of Case 2. Cases 1 and 3 can also be validated experimentally.…”

Section: Measurement Resultmentioning

confidence: 99%

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Analyses of Grating Lobe and Beam Fixation Problems of Low-Profile Dynamic Antenna

Liu

Lin

et al. 2022

International Journal of Antennas and Propagation

Self Cite

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“…. ., N, has n dimensions [62,63]. We define a technique to divide Q into M clusters using the cluster centers c 1 , c 2 .…”

Section: Fuzzy C-mean Segmentationmentioning

confidence: 99%

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Al Mudawi,

Qureshi,

Abdelhaq

et al. 2023

Sustainability

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Vehicle detection and classification are the most significant and challenging activities of an intelligent traffic monitoring system. Traditional methods are highly computationally expensive and also impose restrictions when the mode of data collection changes. This research proposes a new approach for vehicle detection and classification over aerial image sequences. The proposed model consists of five stages. All of the images are preprocessed in the first stage to reduce noise and raise the brightness level. The foreground items are then extracted from these images using segmentation. The segmented images are then passed onto the YOLOv8 algorithm to detect and locate vehicles in each image. The feature extraction phase is then applied to the detected vehicles. The extracted feature involves Scale Invariant Feature Transform (SIFT), Oriented FAST and Rotated BRIEF (ORB), and KAZE features. For classification, we used the Deep Belief Network (DBN) classifier. Based on classification, the experimental results across the three datasets produced better outcomes; the proposed model attained an accuracy of 95.6% over Vehicle Detection in Aerial Imagery (VEDAI) and 94.6% over Vehicle Aerial Imagery from a Drone (VAID) dataset, respectively. To compare our model with the other standard techniques, we have also drawn a comparative analysis with the latest techniques in the research.

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Terahertz Metamaterial Modulator Based on Phase Change Material VO2

Dong

et al. 2021

Symmetry

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In this paper, a new type of terahertz (THz) metamaterial (MM) modulator has been presented with bifunctional properties based on vanadium dioxide (VO2). The design consists of a VO2 resonator, polyimide substrate, frequency selective surface (FSS) layer, and VO2 film. Based on the metal-insulator transition (MIT) of VO2, this structure integrated with VO2 material can achieve the dynamic modulation on both transmission and reflection waves at 2.5 THz by varying the electrical conductivity value of VO2. Meanwhile, it also exhibits adjustable absorption performance across the whole band from 0.5–7 THz. At the lower conductivity (σ = 25 S/m), this structure can act as a bandpass FSS, and, at the high conductivity (σ = 2 × 105 S/m), it behaves like a wideband absorber covering 2.52–6.06 THz with absorption A > 0.9, which realizes asymmetric transmission. The surface electric field distributions are illustrated to provide some insight into the physical mechanism of dynamic modulation. From the simulated results, it can be observed that this design has the capability of controlling tunable manipulation on both transmission/reflection responses at a wide frequency band. This proposed design may pave a novel pathway towards thermal imaging, terahertz detection, active modulators, etc.

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A Low-profile Programmable Beam Scanning Array Antenna

Cited by 3 publications

References 10 publications

Analyses of Grating Lobe and Beam Fixation Problems of Low-Profile Dynamic Antenna

Analyses of Grating Lobe and Beam Fixation Problems of Low-Profile Dynamic Antenna

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Terahertz Metamaterial Modulator Based on Phase Change Material VO2

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