An Improved Broadband Multi-layer Dual-polarized Antenna for UAV Radars

Yao, Zong Xiang; Ding, Jun; Guo, Chao; Zhang, Jun

doi:10.1109/icmmt45702.2019.8992503

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Dual polarized microstip antenna has been presented for ultra-wideband application by P. Kumar et all [4].This antenna resonate at 5-6 GHz frequency with bandwidth of 3.1-10.6 GHz. Whereas improved broadband multilayer dual polaraized antenna for UAV radars is discussed in [5] with Rogers 5880 substrate. The feeding form is modified to the stripline, which introduced to solve the problem of loss and mutual coupling due to surface waves of the microstrip transmission line.…”

Section: Types Of Antennae Used In Uavmentioning

confidence: 99%

Design of UAV Antennas and Challenges: Review

Kapil

Vivek

Vineet

2023

EAE

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In the last decade, researchers have been attracted by the drone and its antenna design. Few years back, drone was used only for surveillance but now drone is using in various filed i.e., weather forecasting, transportation, communication, search & rescue etc. Antennas are the most important part of drone or UAV. Designing of antennas for drone is the challenging task for the researchers without increasing the overall weight of drone. In this article, classification of drone as per their weight, altitude and applications, different types of antennas have been discussed with its challenge. Different antenna design has been discussed and compared with different parameters.

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Section: Types Of Antennae Used In Uavmentioning

confidence: 99%

Design of UAV Antennas and Challenges: Review

Kapil

Vivek

Vineet

2023

EAE

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“…CNNs are the most widely used configuration in MRI and other image processing applications. It also has great advantages in image categorization and has gained good results in many object recognition problems, especially since the network itself can extract multi-level features from images [5]. This DL process that takes various elements of an image and prioritizes them so that they can be distinguished from each other.…”

Section: Convolutional Neural Networkmentioning

confidence: 99%

Detection of Breast Cancer Using Deep Learning Techniques

2023

EAE

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Evaluation of Histopathology images are a vital approach that is used for the breast cancer detection. To build up the efficiency of breast cancer detection and to reduce the burden of doctors and specialists, we layout various Deep Learning algorithms to recognize most cancers with the usage of histopathology scans. This paper follows several deep learning models like Convolutional Neural network (CNN) and Vgg16 for the recognition method. The dataset we used for class manner is Breast Histopathology Images which contain positive and negative images. We examined breast Histopathology images of 2,77,524 patients of which 198,748 images are IDC (-) and 78,786 images are IDC (+). This shows the deep learning algorithms can greatly facilitate the breast cancer detection, improving the accuracy and speed of detection. One of the most common cancers is Invasive Ductal Carcinoma (IDC). To determine the aggressiveness score to whole-mount specimen, doctors typically focus on areas containing IDC. Therefore, one of the common pre-processing steps for automatic aggressive categorization is to identify the exact region of IDC along the mounting side.

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“…In [14] a cone-based three-dimensional (3D)-printed antenna backed by a tapered cavity structure is presented for wideband and lightweight UAV applications. In [15] multilayering concept is utilized for enhancing the bandwidth. Three different substrates are utilized to load the driven patch, parasitic patches, and stripline coupled slot on them.…”

Section: Introductionmentioning

confidence: 99%

Compact, broadband, and thin corrugated U-shaped patch-constituted MIMO antennas for airborne UAV applications

Kapil

Kushwah

2022

Int. J. Microw. Wireless Technol.

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The major component for the effective functioning of airborne unmanned aerial vehicles (UAVs) is an antenna. The unified integration of an antenna with UAVs without disturbing the other components of UAVs, compact size, thin, and wideband antennas are preferred. Based on these prerequisites, a low-profile and a wideband antenna is presented for autonomous UAVs for C-band applications. The antenna is designed on an extremely thin substrate of size 0.01λ0 without compromising the antenna's broad bandwidth. The antenna structure comprises a corrugated U-shaped patch, a few parasitic patches along with the partial ground. Initially, only a single mode was excited using a U-shaped patch, then further on introducing a few more parasitic patches along with corrugations in a U-shaped patch other modes were also coupled leading to enhancement in the bandwidth of the antenna. The proposed antenna along with a 2 × 2 quad-port multiple input, multiple output (MIMO) antenna is designed and fabricated. The measured results are found to be in good agreement with the simulated results. A broad bandwidth of 74.5% (4.1–9.0 GHz) with 5.02 dBi peak gain at 6.6 GHz is exhibited by the fabricated MIMO antenna. Thus, the designed antenna proves to be an effective candidate for UAV-based C-band applications.

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An Improved Broadband Multi-layer Dual-polarized Antenna for UAV Radars

Cited by 3 publications

References 5 publications

Design of UAV Antennas and Challenges: Review

Design of UAV Antennas and Challenges: Review

Detection of Breast Cancer Using Deep Learning Techniques

Compact, broadband, and thin corrugated U-shaped patch-constituted MIMO antennas for airborne UAV applications

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