Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708340
S. Deepak, Sanuj Sahoo, D. Patra
Super-resolution (SR) reconstruction of thermal images has been one of the most active research areas specifically for industrial applications. However, most of the conventional RGB SR models available in the literature are not necessarily applicable to thermal images due to their difference in characteristics when compared to normal camera images. The recent advancement in the field of deep learning-based SR has helped achieve unbelievable results. Despite the advancement in models like deep convolution neural networks (CNN) and Generative adversarial networks, there remain multiple problems unsolved that will help improve the spatial resolution of thermal images. Not only the developed model should be computationally efficient but also easily implementable in industrial applications. Motivated to overcome the said limitations, in this work a generative adversarial network (GAN) based single images super-resolution architecture is proposed for thermal camera images. The developed model not only generates at par results with the other model but also is easy to implement and computationally efficient. The modified architecture has an identical layout inspired by SRGAN. In order to make the model faster to train while having less training parameters, the number of residual blocks was reduced to 5. The batch normalization layers were excluded from the residual blocks of both the Generator and Discriminator networks to remove the redundancy. Before each convolution layer, reflective padding is utilized at the edges to preserve the size of the feature maps. The comparative results revealed that the proposed network trained on thermal images produced high-quality images with enhanced details, while still maintaining image features and perspective throughout. The experimental results show that the proposed model has achieved a reduction in computation time compared to the State-of-the-Art method. The suggested strategy has outperformed the SOTA methods with the improvement of approximately 2dB in PSNR along with 0.9825 of SSIM.
{"title":"Super-Resolution of Thermal Images Using GAN Network","authors":"S. Deepak, Sanuj Sahoo, D. Patra","doi":"10.1109/ACTS53447.2021.9708340","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708340","url":null,"abstract":"Super-resolution (SR) reconstruction of thermal images has been one of the most active research areas specifically for industrial applications. However, most of the conventional RGB SR models available in the literature are not necessarily applicable to thermal images due to their difference in characteristics when compared to normal camera images. The recent advancement in the field of deep learning-based SR has helped achieve unbelievable results. Despite the advancement in models like deep convolution neural networks (CNN) and Generative adversarial networks, there remain multiple problems unsolved that will help improve the spatial resolution of thermal images. Not only the developed model should be computationally efficient but also easily implementable in industrial applications. Motivated to overcome the said limitations, in this work a generative adversarial network (GAN) based single images super-resolution architecture is proposed for thermal camera images. The developed model not only generates at par results with the other model but also is easy to implement and computationally efficient. The modified architecture has an identical layout inspired by SRGAN. In order to make the model faster to train while having less training parameters, the number of residual blocks was reduced to 5. The batch normalization layers were excluded from the residual blocks of both the Generator and Discriminator networks to remove the redundancy. Before each convolution layer, reflective padding is utilized at the edges to preserve the size of the feature maps. The comparative results revealed that the proposed network trained on thermal images produced high-quality images with enhanced details, while still maintaining image features and perspective throughout. The experimental results show that the proposed model has achieved a reduction in computation time compared to the State-of-the-Art method. The suggested strategy has outperformed the SOTA methods with the improvement of approximately 2dB in PSNR along with 0.9825 of SSIM.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130545436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708215
Mangal Singh, Saurav Gupta, S. Yadav, Vipin Pal, S. K. Patra
With the advancement of the light-emitting diode (LED), the use of light as a communication medium has progressed in new directions. Visible light communication (VLC) makes use of white light emitting diodes (LED), which send data through glimmering light at speeds imperceptible to the naked eye. Thus, this paper formulated the VLC based system for indoor applications and evaluate its performance considering various parameters such as optical power distribution (OPD), signal to noise ratio (SNR) and channel delay spread (CDS). The observation of the OPD of a single LED transmitter and a single receiver along with 4 transmitters and receivers in a typical room has been considered. The other performance matrices such as SNR and CDS of VLC is also analyses and simulated using MATLAB software.
{"title":"Performance Evaluation of Visible Light Communication System based on Optical Power Distribution with Channel Delay Spread and SNR","authors":"Mangal Singh, Saurav Gupta, S. Yadav, Vipin Pal, S. K. Patra","doi":"10.1109/ACTS53447.2021.9708215","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708215","url":null,"abstract":"With the advancement of the light-emitting diode (LED), the use of light as a communication medium has progressed in new directions. Visible light communication (VLC) makes use of white light emitting diodes (LED), which send data through glimmering light at speeds imperceptible to the naked eye. Thus, this paper formulated the VLC based system for indoor applications and evaluate its performance considering various parameters such as optical power distribution (OPD), signal to noise ratio (SNR) and channel delay spread (CDS). The observation of the OPD of a single LED transmitter and a single receiver along with 4 transmitters and receivers in a typical room has been considered. The other performance matrices such as SNR and CDS of VLC is also analyses and simulated using MATLAB software.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708195
Ravi Chopra, J. Dhar, Vinal Patel
Data is overflowing day by day. The use of face recognition is rapidly picking up pace due to the boom in data and available computation power. The research done in this field is at an unimaginable pace, and accuracies of more than 99% have been achieved, which are possibly less only by Baye’s error. However, there is still room for experimentation. This paper tries to build a model by mixing two novel ideas of face recognition - ArcFace and LinCos. In this paper, the target is to manipulate the Additive Angular Margin Loss used by ArcFace by incorporating the ideas of LinCos. We re-train the pre-trained ArcFace model using Mobile FaceNet with a modified loss function. The results suggest that our model optimizes at a faster rate as compared to the ArcFace and LinCos models.
{"title":"LinArc - Deep Face Recognition Using LinCos And ArcFace","authors":"Ravi Chopra, J. Dhar, Vinal Patel","doi":"10.1109/ACTS53447.2021.9708195","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708195","url":null,"abstract":"Data is overflowing day by day. The use of face recognition is rapidly picking up pace due to the boom in data and available computation power. The research done in this field is at an unimaginable pace, and accuracies of more than 99% have been achieved, which are possibly less only by Baye’s error. However, there is still room for experimentation. This paper tries to build a model by mixing two novel ideas of face recognition - ArcFace and LinCos. In this paper, the target is to manipulate the Additive Angular Margin Loss used by ArcFace by incorporating the ideas of LinCos. We re-train the pre-trained ArcFace model using Mobile FaceNet with a modified loss function. The results suggest that our model optimizes at a faster rate as compared to the ArcFace and LinCos models.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130738319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708250
Laxmi Narayana Deekonda, S. Sahu, A. Panda
This paper presents a broadband terahertz (THz) metamaterial absorber. The unit cell structure of this absorber consists of three layers. The top layer of the structure contains a circular graphene ring. At the center frequency of 2THz, this circular graphene ring has a fractional bandwidth of 67% and absorptivity of more than 90%. The proposed absorber is polarization insensitive because of its fourfold symmetrical structure. The graphene parameter is optimized to get maximum bandwidth. This metamaterial offers TE and TM polarization insensitive up to a 60° incident angle of electro-magnetic wave.
{"title":"A Graphene-Based Broadband Metamaterial Absorber","authors":"Laxmi Narayana Deekonda, S. Sahu, A. Panda","doi":"10.1109/ACTS53447.2021.9708250","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708250","url":null,"abstract":"This paper presents a broadband terahertz (THz) metamaterial absorber. The unit cell structure of this absorber consists of three layers. The top layer of the structure contains a circular graphene ring. At the center frequency of 2THz, this circular graphene ring has a fractional bandwidth of 67% and absorptivity of more than 90%. The proposed absorber is polarization insensitive because of its fourfold symmetrical structure. The graphene parameter is optimized to get maximum bandwidth. This metamaterial offers TE and TM polarization insensitive up to a 60° incident angle of electro-magnetic wave.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125800927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708363
B. A. Babu, Madhav Boddapati, Kantamneni Srilatha
This study gives a compact, low-profile, and flexible Artificial Magnetic Conductor (AMC) surface integrated antenna design that provides low SAR (Specific Absorption Rate) and improved radiation performance. The antenna is designed using a flexible polyimide substrate with dimensions 14×14×0.1 mm3 that makes resonance at 5.2 GHz frequency. It provides a gain of 1.05 dBi in standalone condition. The flexible substrate PDMS (Polydimethylsiloxane) is used for AMC design that provides the improved gain of 3.12 dBi. The dimension of AMC unit cell is 8×8.8×1 mm3. It provides a low SAR of 0.707 W/Kg for 10g of tissue model with a separation of 10 mm. The design and analysis are performed using CST Microwave Studio (CST MWS) tool. The designed antenna is significant at Industrial, Scientific, and Medical (ISM) band applications for wearable devices.
{"title":"AMC based Flexible Wearable Antenna with low SAR and Improved Gain for ISM band Applications","authors":"B. A. Babu, Madhav Boddapati, Kantamneni Srilatha","doi":"10.1109/ACTS53447.2021.9708363","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708363","url":null,"abstract":"This study gives a compact, low-profile, and flexible Artificial Magnetic Conductor (AMC) surface integrated antenna design that provides low SAR (Specific Absorption Rate) and improved radiation performance. The antenna is designed using a flexible polyimide substrate with dimensions 14×14×0.1 mm3 that makes resonance at 5.2 GHz frequency. It provides a gain of 1.05 dBi in standalone condition. The flexible substrate PDMS (Polydimethylsiloxane) is used for AMC design that provides the improved gain of 3.12 dBi. The dimension of AMC unit cell is 8×8.8×1 mm3. It provides a low SAR of 0.707 W/Kg for 10g of tissue model with a separation of 10 mm. The design and analysis are performed using CST Microwave Studio (CST MWS) tool. The designed antenna is significant at Industrial, Scientific, and Medical (ISM) band applications for wearable devices.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128701865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708190
A. Bhattacharjee, R. Murugan, Tripti Goel, B. Soni
Latest advancements in deep learning have led to an enthusiasm among biomedical researchers to explore the field of semantic segmentation further. Lungs segmentation plays a crucial role in the computer-aided diagnosis of several lung diseases. However, various anatomical varieties make lungs segmentation a challenging task. The main objective of our study is to propose a modified U-Net model that automatically segments the lungs from the computed tomography images. The proposed algorithm is trained on 240 training images. The advantage of this architecture is that it consumes less data and GPU memory. Experimental results show that the proposed architecture obtained 98.3% accuracy, 96.29% dice coefficient, and 93.63% Jaccard index. The segmentation model outperformed the original U-Net and the state-of-the-art methods. Thus, the modified U-Net model is apt for accurate lung segmentation.
{"title":"Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images","authors":"A. Bhattacharjee, R. Murugan, Tripti Goel, B. Soni","doi":"10.1109/ACTS53447.2021.9708190","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708190","url":null,"abstract":"Latest advancements in deep learning have led to an enthusiasm among biomedical researchers to explore the field of semantic segmentation further. Lungs segmentation plays a crucial role in the computer-aided diagnosis of several lung diseases. However, various anatomical varieties make lungs segmentation a challenging task. The main objective of our study is to propose a modified U-Net model that automatically segments the lungs from the computed tomography images. The proposed algorithm is trained on 240 training images. The advantage of this architecture is that it consumes less data and GPU memory. Experimental results show that the proposed architecture obtained 98.3% accuracy, 96.29% dice coefficient, and 93.63% Jaccard index. The segmentation model outperformed the original U-Net and the state-of-the-art methods. Thus, the modified U-Net model is apt for accurate lung segmentation.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114084292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708385
S. Debnath, D. Sen, W. Arif
Scare spectrum resources of the wireless networks have to be used efficiently for network utility maximization. The allocation of resources to different services based on the differentiated quality of service (QoS) can be done with dynamic resource slicing (DRS) paradigm. DRS is very efficient in providing adequate QoS to the associated user of the network. In the two-tier heterogeneous network, considering the DRS framework, optimal allocation of radio resources to each user and association of user to a cell is a challenging task to be performed. In this work, the allocation of resources among normal data services and machine-to-machine services under the differentiated QoS is quantified and analyzed while considering the load dynamics of the 5G communication network. Here we utilize efficient state-of-the-art optimization algorithms to analyze the network utility maximization property under the consideration of user association to the network based on geographical location and cell capacity. It is observed that the formulated PSO and SSA based algorithm is efficient in respect of network utility maximization as compare to the geographical SINR based connected user to the network.
{"title":"Optimal Resource Allocation in Two Tier Heterogeneous Network Through Network Slicing","authors":"S. Debnath, D. Sen, W. Arif","doi":"10.1109/ACTS53447.2021.9708385","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708385","url":null,"abstract":"Scare spectrum resources of the wireless networks have to be used efficiently for network utility maximization. The allocation of resources to different services based on the differentiated quality of service (QoS) can be done with dynamic resource slicing (DRS) paradigm. DRS is very efficient in providing adequate QoS to the associated user of the network. In the two-tier heterogeneous network, considering the DRS framework, optimal allocation of radio resources to each user and association of user to a cell is a challenging task to be performed. In this work, the allocation of resources among normal data services and machine-to-machine services under the differentiated QoS is quantified and analyzed while considering the load dynamics of the 5G communication network. Here we utilize efficient state-of-the-art optimization algorithms to analyze the network utility maximization property under the consideration of user association to the network based on geographical location and cell capacity. It is observed that the formulated PSO and SSA based algorithm is efficient in respect of network utility maximization as compare to the geographical SINR based connected user to the network.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132371152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708327
D. Arun Kumar, S. Maity
In this work, a dual-band quad array slotted type absorber/reflector is presented for dual-band applications in smart stealth systems. The Frequency Selective Surface (FSS) is constructed from 1.6 mm thick FR4 material. The proposed FSS shows a dual-band at 5.68 and 7.94 GHz. It is also found that the proposed FSS is oblique incidence angle of the incident EM waves and insensitive to polarization. The Equivalent circuit model is also presented to understand the working principle of the FSS qualitatively.
{"title":"Dual-Band Polarization Insensitive Quad-array Slotted Type Frequency Selective Surface with Wide Angular Stability","authors":"D. Arun Kumar, S. Maity","doi":"10.1109/ACTS53447.2021.9708327","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708327","url":null,"abstract":"In this work, a dual-band quad array slotted type absorber/reflector is presented for dual-band applications in smart stealth systems. The Frequency Selective Surface (FSS) is constructed from 1.6 mm thick FR4 material. The proposed FSS shows a dual-band at 5.68 and 7.94 GHz. It is also found that the proposed FSS is oblique incidence angle of the incident EM waves and insensitive to polarization. The Equivalent circuit model is also presented to understand the working principle of the FSS qualitatively.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132395575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708124
Kavya Parasana, G. K. Sahoo, S. Das, Poonam Singh
This work presents an android-based application, the SOS (Save Our Souls), a personal safety app that aims to reduce the emergency response time in case of any road casualty. Currently, the increase in the number of road fatalities and injuries requires an advanced system that can intimate for immediate rescue to save precious lives. The use of smartphone’s onboard sensors data for vehicular accident detection and intimation will help in reducing the rescue time. Providing additional geolocation data to the nearest available emergency responder will immensely improve the odds of survival while saving time and resources for emergency services. Using the pre-filled medical details of the user will also help doctors for necessary diagnoses, which in turn will increase the scope of saving lives. This work aims to use today’s cell phones features with three-axis accelerometer data to improve road safety. The developed android application will suggest the nearest hospital with a Google root map. The phone call facility for rescue is enabled with automatic and manual calling facility for informing pre-filled emergency units like police, hospital, family members. This work implemented the android application and verified its working, reducing the rescue time for accident victims.
{"title":"A Health Perspective Smartphone Application for the Safety of Road Accident Victims","authors":"Kavya Parasana, G. K. Sahoo, S. Das, Poonam Singh","doi":"10.1109/ACTS53447.2021.9708124","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708124","url":null,"abstract":"This work presents an android-based application, the SOS (Save Our Souls), a personal safety app that aims to reduce the emergency response time in case of any road casualty. Currently, the increase in the number of road fatalities and injuries requires an advanced system that can intimate for immediate rescue to save precious lives. The use of smartphone’s onboard sensors data for vehicular accident detection and intimation will help in reducing the rescue time. Providing additional geolocation data to the nearest available emergency responder will immensely improve the odds of survival while saving time and resources for emergency services. Using the pre-filled medical details of the user will also help doctors for necessary diagnoses, which in turn will increase the scope of saving lives. This work aims to use today’s cell phones features with three-axis accelerometer data to improve road safety. The developed android application will suggest the nearest hospital with a Google root map. The phone call facility for rescue is enabled with automatic and manual calling facility for informing pre-filled emergency units like police, hospital, family members. This work implemented the android application and verified its working, reducing the rescue time for accident victims.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131848171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708174
K. Kola, A. Chatterjee
A printed array of microstrip radiators for DBS applications has been reported in this paper. The sole element is derived from a nature-inspired Tulip-flower-shaped geometry whose resonated at 12.50 GHz. One regular ellipse and pair of semi-ellipses are jointly formed the proposed structure, and in order to resonate at the desired frequency, an anchor-shaped slotted structure is etched from the center of the resultant geometry. The single proposed element’s time-domain parameters has been analysed for side-by-side and face-to-face arrangements. The feed network of the array is designed based on Wilkinson power divider and achieve a low-loss, high-isolation, and better impedance bandwidth responses. The antenna and the array are offered the directivity of 9.36 and 14.96 dBi, respectively. A 100% bandwidth coverage, a shallow x-pol. along the main-beam direction, immense radiation efficiency, and satisfactory electromagnetic compatibility performances have been achieved from both antennas. The antennas are convenient for DBS applications.
{"title":"An Array of Tulip-Flower Shaped Printed Radiators for Direct Broadcast Satellite (DBS) Applications","authors":"K. Kola, A. Chatterjee","doi":"10.1109/ACTS53447.2021.9708174","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708174","url":null,"abstract":"A printed array of microstrip radiators for DBS applications has been reported in this paper. The sole element is derived from a nature-inspired Tulip-flower-shaped geometry whose resonated at 12.50 GHz. One regular ellipse and pair of semi-ellipses are jointly formed the proposed structure, and in order to resonate at the desired frequency, an anchor-shaped slotted structure is etched from the center of the resultant geometry. The single proposed element’s time-domain parameters has been analysed for side-by-side and face-to-face arrangements. The feed network of the array is designed based on Wilkinson power divider and achieve a low-loss, high-isolation, and better impedance bandwidth responses. The antenna and the array are offered the directivity of 9.36 and 14.96 dBi, respectively. A 100% bandwidth coverage, a shallow x-pol. along the main-beam direction, immense radiation efficiency, and satisfactory electromagnetic compatibility performances have been achieved from both antennas. The antennas are convenient for DBS applications.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121110194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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