Increasing the bandwidth of cavity-backed SIW antennas by using stacked cavities

2018 ◽  
Vol 10 (8) ◽  
pp. 942-947
Author(s):  
Hiba Abdel Ali ◽  
Enrico Massoni ◽  
Lorenzo Silvestri ◽  
Maurizio Bozzi ◽  
Luca Perregrini ◽  
...  

AbstractThis paper presents a technique to increase the bandwidth in substrate integrated waveguide (SIW) cavity-backed antennas, inspired by the design of cavity filters. The proposed structure consists of a slot antenna backed by two cavities, located one on top of the other and coupled through a slot. To demonstrate the bandwidth increase, a standard cavity-backed SIW antenna, with a rectangular slot etched in the top metal plane, has been designed, manufactured, and measured. Subsequently, a similar antenna was developed, by doubling the substrate thickness with the aim to improve the bandwidth. Finally, the new topology of two-cavity SIW antenna has been implemented and compared with the two previous ones. Simulation and experimental results show that the proposed two-cavity antenna exhibits a bandwidth twice as large as the standard SIW cavity-backed antenna.

2021 ◽  
Vol 18 (2) ◽  
pp. 211-224
Author(s):  
Velusamy Mekaladevi ◽  
Devi Nirmala ◽  
Madasamy Jayakumar

The design and realization of a wideband substrate-integrated waveguide (SIW) cavity-backed slot antenna operating at 2.45 GHz for WLAN applications are presented. Dual dumbbell-shaped slots with rectangular slots are used to achieve increased bandwidth. The bandwidth observed is 160 MHz with the dumbbell-shaped slots. Further, it has been improved up to 9.2% by adding a rectangular slot. The wideband antenna is analyzed using ANSYS HFSS and fabricated on FR-4 substrate. The measured results of the proposed design are in good agreement with the simulation results and comparable with the reported results.


2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Dian Widi Astuti ◽  
Melinda Megahari Putri ◽  
Dian Rusdiyanto

Penggunaan teknologi dinas tetap (fixed-services) bertujuan untuk memenuhi kebutuhan masyarakat akan teknologi telekomunikasi nirkabel. Pada perkembangannya muncul tantangan untuk meningkatkan performa dan efisiensi perangkat teknologi seperti penggunaan lebih dari satu frekuensi dalam satu device. Penelitian ini mendukung tantangan tersebut dengan membuat antena yang dapat bekerja untuk dua resonansi frekuensi (diplexing). Metode yang digunakan untuk mendesain antena diplexing tersebut yaitu Half Mode Substrate Integrated Waveguide (HMSIW) Cavity Backed Slot Antenna (CBSA). Metode CBSA mempunyai kemampuan untuk mencapai matching impedansi dengan mengatur inset-feed dan rectangular slot. Hasil simulasi menunjukan antena dapat bekerja pada frekuensi tengah (fC) 4,5 dan 5,8 GHz.  Nilai S11 dan S22 simulasi masing-masing memperoleh -30 dB dan -16,86 dB, serta nilai S12 dan S21 masing-masing -27 dB dan -26 dB. Sedangkan hasil pengukuran menunjukan antena bekerja pada frekuensi tengah (fC) 4,25 dan 5,67 GHz, dengan nilai S11 dan S22 masing-masing -33,10 dB dan -23,27 dB, serta nilai S12 dan S21 masing-masing -30 dB dan -29,6 dB. Hasil simulasi telah sesuai dengan spesifikasi yang diinginkan. Perbedaan dengan hasil pengukuran dapat disebabkan karena faktor pabrikasi, penyolderan dan proses etching.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Dian Widi Astuti ◽  
Muhamad Asvial ◽  
Fitri Yuli Zulkifli ◽  
Eko Tjipto Rahardjo

This paper proposes bandwidth enhancement of a cavity-backed slot antenna using a triangular slot on a half-mode substrate integrated waveguide structure antenna. The bandwidth enhancement was achieved by combining the fixed TE101 and the downward shifting TE102 modes, resulting in hybrid modes. The design evolution of the slot antenna from a half nonresonating rectangular slot to a triangular slot antenna increased the fractional bandwidth. The simulation result showed that fractional bandwidth increased from 6.27% to 9.1%. It was confirmed by measurement that the fractional bandwidth of 9.87% was achieved which reflects a 350 MHz bandwidth with center frequency at 3.84 GHz. The measured gain at center frequency was 4.2 dBi. It is shown that the radiation characteristics obtained from both measurement and simulation results are in very good agreement.


1994 ◽  
Vol 29 (4) ◽  
pp. 127-132 ◽  
Author(s):  
Naomi Rea ◽  
George G. Ganf

Experimental results demonstrate bow small differences in depth and water regime have a significant affect on the accumulation and allocation of nutrients and biomass. Because the performance of aquatic plants depends on these factors, an understanding of their influence is essential to ensure that systems function at their full potential. The responses differed for two emergent species, indicating that within this morphological category, optimal performance will fall at different locations across a depth or water regime gradient. The performance of one species was unaffected by growth in mixture, whereas the other performed better in deep water and worse in shallow.


2021 ◽  
Vol 40 (1) ◽  
pp. 551-563
Author(s):  
Liqiong Lu ◽  
Dong Wu ◽  
Ziwei Tang ◽  
Yaohua Yi ◽  
Faliang Huang

This paper focuses on script identification in natural scene images. Traditional CNNs (Convolution Neural Networks) cannot solve this problem perfectly for two reasons: one is the arbitrary aspect ratios of scene images which bring much difficulty to traditional CNNs with a fixed size image as the input. And the other is that some scripts with minor differences are easily confused because they share a subset of characters with the same shapes. We propose a novel approach combing Score CNN, Attention CNN and patches. Attention CNN is utilized to determine whether a patch is a discriminative patch and calculate the contribution weight of the discriminative patch to script identification of the whole image. Score CNN uses a discriminative patch as input and predict the score of each script type. Firstly patches with the same size are extracted from the scene images. Secondly these patches are used as inputs to Score CNN and Attention CNN to train two patch-level classifiers. Finally, the results of multiple discriminative patches extracted from the same image via the above two classifiers are fused to obtain the script type of this image. Using patches with the same size as inputs to CNN can avoid the problems caused by arbitrary aspect ratios of scene images. The trained classifiers can mine discriminative patches to accurately identify some confusing scripts. The experimental results show the good performance of our approach on four public datasets.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hossein Ahmadvand ◽  
Fouzhan Foroutan ◽  
Mahmood Fathy

AbstractData variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the evaluation phase, we have used a set of data sets and applications. The experimental results show that our proposed approach surpasses the other scenarios in processing real datasets. Based on the experimental results in this paper, DV-DVFS can achieve up to 15% improvement in energy consumption.


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