Pub Date : 2021-07-27DOI: 10.1109/NCC52529.2021.9530137
Charantej Reddy Pochimireddy, V. S. S. P. Tej, Aditya Siripuram
We consider the problem of computing the Discrete Fourier transform (DFT) of an N- length signal which has only k non-zero DFT coefficients at known locations. We say that a set of indices is spectral if there exists a DFT submatrix (square) with those columns that is unitary up to scaling. When the DFT support set is spectral and N is a prime power, we prove that this can be done in O(klogk) operations using k samples provided the DFT support. This is a generalization of a similar recent result for the case when N is a power of 2.
{"title":"Fast DFT computation for signals with spectral support","authors":"Charantej Reddy Pochimireddy, V. S. S. P. Tej, Aditya Siripuram","doi":"10.1109/NCC52529.2021.9530137","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530137","url":null,"abstract":"We consider the problem of computing the Discrete Fourier transform (DFT) of an N- length signal which has only k non-zero DFT coefficients at known locations. We say that a set of indices is spectral if there exists a DFT submatrix (square) with those columns that is unitary up to scaling. When the DFT support set is spectral and N is a prime power, we prove that this can be done in O(klogk) operations using k samples provided the DFT support. This is a generalization of a similar recent result for the case when N is a power of 2.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116142913","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530054
Nancy Varshney, S. De
This paper proposes a sectored-cell framework for mmWave communication. It consists of multiple concurrent beams generated from a partially-connected hybrid precoder at an eNodeB (eNB) to serve a dense user population in urban scenarios. Multiple beams sweep the cell in a round-robin fashion to serve the sectors with fair scheduling opportunities. Each beam serves all the users located within a sector using orthogonal frequency division multiple access. We aim to estimate an optimum beamwidth and an optimum number of beams required to maximize the average of long-run user rates with a given power budget for transmission and hardware consumption at the eNB. Simulation results demonstrate that employing higher beams increases the side-lobe interference still, the achievable average long-run user rate improves on account of longer sector sojourn time and higher frequency reuse. On the other hand, employing a very narrow beam is also not optimal.
{"title":"Joint Beamwidth and Number of Concurrent Beams Estimation in Downlink mmWave Communications","authors":"Nancy Varshney, S. De","doi":"10.1109/NCC52529.2021.9530054","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530054","url":null,"abstract":"This paper proposes a sectored-cell framework for mmWave communication. It consists of multiple concurrent beams generated from a partially-connected hybrid precoder at an eNodeB (eNB) to serve a dense user population in urban scenarios. Multiple beams sweep the cell in a round-robin fashion to serve the sectors with fair scheduling opportunities. Each beam serves all the users located within a sector using orthogonal frequency division multiple access. We aim to estimate an optimum beamwidth and an optimum number of beams required to maximize the average of long-run user rates with a given power budget for transmission and hardware consumption at the eNB. Simulation results demonstrate that employing higher beams increases the side-lobe interference still, the achievable average long-run user rate improves on account of longer sector sojourn time and higher frequency reuse. On the other hand, employing a very narrow beam is also not optimal.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123182604","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530068
Wrivu Sanyal, Srishti Sharma, P. Krishnamurthy
The Kalman filter is often used for tracking and estimation of effects such as LPN and NLPN in long haul coherent optical communication systems. However, real-time symbol-by-symbol estimation of these parameters is computationally challenging. We use a multi-rate Kalman filtering scheme that allows for different sampling and state update rates in the system. This scheme achieves high Q-factor by making use of maximum available samples while reducing computational load. Simulations are performed for 200 Gbps PDM-16-QAM system by transmitting 20000 symbols over 800 km optical channel. The filter has Q-factor of 17.25 dB with state estimates being updated after every 20 samples. The filter shows more than 1 dB improvement in Q-factor when compared to a KF where the intermediate samples are not utilised for phase estimation.
{"title":"Multi-Rate Kalman Filter for Carrier Phase Recovery in 200 Gbps PDM Coherent Optical Receivers","authors":"Wrivu Sanyal, Srishti Sharma, P. Krishnamurthy","doi":"10.1109/NCC52529.2021.9530068","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530068","url":null,"abstract":"The Kalman filter is often used for tracking and estimation of effects such as LPN and NLPN in long haul coherent optical communication systems. However, real-time symbol-by-symbol estimation of these parameters is computationally challenging. We use a multi-rate Kalman filtering scheme that allows for different sampling and state update rates in the system. This scheme achieves high Q-factor by making use of maximum available samples while reducing computational load. Simulations are performed for 200 Gbps PDM-16-QAM system by transmitting 20000 symbols over 800 km optical channel. The filter has Q-factor of 17.25 dB with state estimates being updated after every 20 samples. The filter shows more than 1 dB improvement in Q-factor when compared to a KF where the intermediate samples are not utilised for phase estimation.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809697","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530122
K. G, S. Kumawat, Saidhiraj Amuru, K. Kuchi
In 5G-New Radio (5G-NR), the available transmission power at the user is limited, and thus, the uplink transmissions define the coverage of 5G-NR systems. In this paper, we propose various solutions to enhance the uplink coverage of 5G-NR. Each payload of the user in 5G-NR is appended with a cyclic redundancy check (CRC) before channel encoding and transmission. We identify that the overhead with the CRC attached payload is as high as 40% in the cell-edge transmissions. To address this issue, we propose a mechanism to transmit the data over multiple slots with a single CRC attached to the payload. This method significantly reduces the CRC overhead and improves the cell-coverage. Through link-level evaluations, we show that this proposed method achieves 450 meters improvement in the cell-coverage for the VoIP scenario. Further, we identify the under-utilization of resources in the special slots in Time-Division-Duplex (TDD) systems. To reduce the reference signal overhead in the special slot transmissions, we have proposed allocating the resources by jointly considering the available symbols in special and uplink slots. Through link-level evaluations, we show that this proposed scheme achieves an improvement of close to 2 dB in the link performance and 400 meters improvement in the cell coverage of the eMBB scenario.
{"title":"Enhanced Transport Block Processing for 5G NR PUSCH Coverage Enhancement","authors":"K. G, S. Kumawat, Saidhiraj Amuru, K. Kuchi","doi":"10.1109/NCC52529.2021.9530122","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530122","url":null,"abstract":"In 5G-New Radio (5G-NR), the available transmission power at the user is limited, and thus, the uplink transmissions define the coverage of 5G-NR systems. In this paper, we propose various solutions to enhance the uplink coverage of 5G-NR. Each payload of the user in 5G-NR is appended with a cyclic redundancy check (CRC) before channel encoding and transmission. We identify that the overhead with the CRC attached payload is as high as 40% in the cell-edge transmissions. To address this issue, we propose a mechanism to transmit the data over multiple slots with a single CRC attached to the payload. This method significantly reduces the CRC overhead and improves the cell-coverage. Through link-level evaluations, we show that this proposed method achieves 450 meters improvement in the cell-coverage for the VoIP scenario. Further, we identify the under-utilization of resources in the special slots in Time-Division-Duplex (TDD) systems. To reduce the reference signal overhead in the special slot transmissions, we have proposed allocating the resources by jointly considering the available symbols in special and uplink slots. Through link-level evaluations, we show that this proposed scheme achieves an improvement of close to 2 dB in the link performance and 400 meters improvement in the cell coverage of the eMBB scenario.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500262","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530163
Girish Vaidya, C. Singh, T. Prabhakar
Physically unclonable functions (PUFs) exploit the inherent manufacturing variations for generating a device identifier. However, different devices may map to the same identifier causing a “collision”. It is imperative to determine the probability of such collisions before a PUF is deployed for an application. We present a framework that computes the collision probabilities based on its inter-device and intra-device variations. This framework could be used for determining the collision probabilities, tuning the PUF attributes as well as to compare different PUF implementations. We demonstrate the use of our framework for real-world applications by comparing the results from our analyses with data from experiments and numerical simulation.
{"title":"Order Statistics based Collision Analysis for PUFs","authors":"Girish Vaidya, C. Singh, T. Prabhakar","doi":"10.1109/NCC52529.2021.9530163","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530163","url":null,"abstract":"Physically unclonable functions (PUFs) exploit the inherent manufacturing variations for generating a device identifier. However, different devices may map to the same identifier causing a “collision”. It is imperative to determine the probability of such collisions before a PUF is deployed for an application. We present a framework that computes the collision probabilities based on its inter-device and intra-device variations. This framework could be used for determining the collision probabilities, tuning the PUF attributes as well as to compare different PUF implementations. We demonstrate the use of our framework for real-world applications by comparing the results from our analyses with data from experiments and numerical simulation.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122633464","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530098
Nelapati Lava Prasad, C. Ekbote, Barathram Ramkumar
There has been a lot of research in the last decade on UAV assisted wireless communication networks. Due to its ability of fast deployment, it is seen as a potential solution to establish communication under emergency scenarios like natural disasters. The mobile nature of the UAVs offers a lot of flexibility, which can be harnessed to improve the QoS of a wireless communication network. In this paper UAV assisted cooperative communication to serve different user clusters distributed in a geographical location is considered. These user clusters do not have access to any conventional base station which is typically a scenario under natural disasters. Each cluster is served by two types of UAVs: cluster UAV which hovers on the top of the cluster centroid and relay UAV which relays information between a central base station (CBS) and cluster UAV. To achieve the required QoS, which is serving a maximum number of users with limited available power, two major parameters have to be optimized apart from other parameters. These are the height of the cluster UAV and trajectory of the relay UAV. To solve this problem, a three-step approach is considered in this paper. In the first step, an unsupervised learning algorithm is used to find the horizontal location parameters of cluster UAVs. Then using convex optimization to find the optimal height of the cluster UAV under power constraints and capacity requirement. Finally using a heuristic algorithm to find the optimal trajectory with minimum distance to be traveled by the relay UAVs. The wireless channel considered here is a simple line of sight (LoS) with a path loss. Computer simulations are performed to prove the validity of the proposed approach in comparison with random deployment.
{"title":"Optimal Deployment Strategy for Relay Based UAV Assisted Cooperative Communication for Emergency Applications","authors":"Nelapati Lava Prasad, C. Ekbote, Barathram Ramkumar","doi":"10.1109/NCC52529.2021.9530098","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530098","url":null,"abstract":"There has been a lot of research in the last decade on UAV assisted wireless communication networks. Due to its ability of fast deployment, it is seen as a potential solution to establish communication under emergency scenarios like natural disasters. The mobile nature of the UAVs offers a lot of flexibility, which can be harnessed to improve the QoS of a wireless communication network. In this paper UAV assisted cooperative communication to serve different user clusters distributed in a geographical location is considered. These user clusters do not have access to any conventional base station which is typically a scenario under natural disasters. Each cluster is served by two types of UAVs: cluster UAV which hovers on the top of the cluster centroid and relay UAV which relays information between a central base station (CBS) and cluster UAV. To achieve the required QoS, which is serving a maximum number of users with limited available power, two major parameters have to be optimized apart from other parameters. These are the height of the cluster UAV and trajectory of the relay UAV. To solve this problem, a three-step approach is considered in this paper. In the first step, an unsupervised learning algorithm is used to find the horizontal location parameters of cluster UAVs. Then using convex optimization to find the optimal height of the cluster UAV under power constraints and capacity requirement. Finally using a heuristic algorithm to find the optimal trajectory with minimum distance to be traveled by the relay UAVs. The wireless channel considered here is a simple line of sight (LoS) with a path loss. Computer simulations are performed to prove the validity of the proposed approach in comparison with random deployment.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643542","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530048
Murali Krishna Pavuluri, Ram Prakash Sri Sai Seeram, V. Gadre, A. Jagannatham
In this paper superimposed pilot based channel estimation technique is proposed for MIMO coded FBMC systems. In coded FBMC intrinsic interference is mitigated by using spreading of symbols across time. Superimposed pilot based channel estimation is a technique that improves the spectral efficiency by transmitting the pilot symbols along with the data symbols on a set of selected subcarriers. The proposed system achieves the same bit-error performance and mean square error performance as that of MIMO-OFDM with an additional advantage of improved spectral efficiency. The spectral efficiency is improved in two ways. By removing the cyclic prefix overhead and by avoiding the use of dedicated subcarriers for pilots.
{"title":"Superimposed Pilot Based Channel Estimation for MIMO Coded FBMC Systems","authors":"Murali Krishna Pavuluri, Ram Prakash Sri Sai Seeram, V. Gadre, A. Jagannatham","doi":"10.1109/NCC52529.2021.9530048","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530048","url":null,"abstract":"In this paper superimposed pilot based channel estimation technique is proposed for MIMO coded FBMC systems. In coded FBMC intrinsic interference is mitigated by using spreading of symbols across time. Superimposed pilot based channel estimation is a technique that improves the spectral efficiency by transmitting the pilot symbols along with the data symbols on a set of selected subcarriers. The proposed system achieves the same bit-error performance and mean square error performance as that of MIMO-OFDM with an additional advantage of improved spectral efficiency. The spectral efficiency is improved in two ways. By removing the cyclic prefix overhead and by avoiding the use of dedicated subcarriers for pilots.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"76 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904226","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530159
J. Triphena, Vetrivel Chelian Thirumavalavan, T. S. Jayaraman
Reconfigurable Intelligent Surface (RIS) is one of the latest technologies in bringing a certain amount of control to the rather unpredictable and uncontrollable wireless channel. In this paper, RIS is introduced in a bidirectional system with two source nodes and a Decode and Forward (DF) relay node. It is assumed that there is no direct path between the source nodes. The relay node receives information from source nodes simultaneously. The Physical Layer Network Coding (PLNC) is applied at the relay node to assist in the exchange of information between the source nodes. Analytical expressions are derived for the average probability of errors at the source nodes and relay node of the proposed RIS-assisted bidirectional relay system. The Bit Error Rate (BER) performance is analyzed using both simulation and analytical forms. It is observed that RIS-assisted PLNC based bidirectional relay system performs better than the conventional PLNC based bidirectional system.
{"title":"BER Analysis of RIS Assisted Bidirectional Relay System with Physical Layer Network Coding","authors":"J. Triphena, Vetrivel Chelian Thirumavalavan, T. S. Jayaraman","doi":"10.1109/NCC52529.2021.9530159","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530159","url":null,"abstract":"Reconfigurable Intelligent Surface (RIS) is one of the latest technologies in bringing a certain amount of control to the rather unpredictable and uncontrollable wireless channel. In this paper, RIS is introduced in a bidirectional system with two source nodes and a Decode and Forward (DF) relay node. It is assumed that there is no direct path between the source nodes. The relay node receives information from source nodes simultaneously. The Physical Layer Network Coding (PLNC) is applied at the relay node to assist in the exchange of information between the source nodes. Analytical expressions are derived for the average probability of errors at the source nodes and relay node of the proposed RIS-assisted bidirectional relay system. The Bit Error Rate (BER) performance is analyzed using both simulation and analytical forms. It is observed that RIS-assisted PLNC based bidirectional relay system performs better than the conventional PLNC based bidirectional system.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134282255","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530160
M. Narkhede, Shubham S. Mane, P. Bartakke, M. Sutaone
The first case of the novel Coronavirus disease (COVID-19) in India was recorded on 30th January 2020 in Kerela and it has spread across all states in India. The prediction of the number of COVID-19 cases is important for government officials to plan various control strategies. This paper presents a weekly prediction of cumulative number of COVID-19 cases in India. A graded lockdown feature, which describes the status of lockdown, is derived and incorporated in the input dataset as one of the features. For prediction, this paper proposes a model which is a stacking of different deep neural networks which have recurrent connections. Vanishing gradients is a common issue with such networks with recurrent connections. Proper weight initialization of the network is one of the solutions to overcome the vanishing gradients problem. Hence, the weight distributions and convergence performance of some state-of-the-art weight initialization techniques have been analyzed in this paper. The proposed model is initialized with the technique which would aid to avoid the vanishing gradients problem and converge faster to a lower loss. This paper also provides a comparison of the proposed model for univariate and multivariate prediction with other prediction models such as statistical model - Auto-Regressive Integrated Moving Average (ARIMA), and deep learning architectures long short term memory (LSTM), bidirectional LSTM (bi-LSTM) and gated recurrent unit (GRU). The results demonstrate that the proposed model gives better prediction results than these models.
{"title":"Empirical Study of Weight Initializations for COVID-19 Predictions in India","authors":"M. Narkhede, Shubham S. Mane, P. Bartakke, M. Sutaone","doi":"10.1109/NCC52529.2021.9530160","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530160","url":null,"abstract":"The first case of the novel Coronavirus disease (COVID-19) in India was recorded on 30th January 2020 in Kerela and it has spread across all states in India. The prediction of the number of COVID-19 cases is important for government officials to plan various control strategies. This paper presents a weekly prediction of cumulative number of COVID-19 cases in India. A graded lockdown feature, which describes the status of lockdown, is derived and incorporated in the input dataset as one of the features. For prediction, this paper proposes a model which is a stacking of different deep neural networks which have recurrent connections. Vanishing gradients is a common issue with such networks with recurrent connections. Proper weight initialization of the network is one of the solutions to overcome the vanishing gradients problem. Hence, the weight distributions and convergence performance of some state-of-the-art weight initialization techniques have been analyzed in this paper. The proposed model is initialized with the technique which would aid to avoid the vanishing gradients problem and converge faster to a lower loss. This paper also provides a comparison of the proposed model for univariate and multivariate prediction with other prediction models such as statistical model - Auto-Regressive Integrated Moving Average (ARIMA), and deep learning architectures long short term memory (LSTM), bidirectional LSTM (bi-LSTM) and gated recurrent unit (GRU). The results demonstrate that the proposed model gives better prediction results than these models.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122820347","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530057
Rathod Rajender, Prof. K. R. Subhashini, B. P. Kumar
The presence of side-lobes which are adjacent to main-lobe are serious concern in radar systems. The amplitude distributions across the array aperture improves the side-lobe performance at the cost of directivity and hence aperture efficiency. The current two-way array pattern optimization techniques reveals that if the receive pattern nulls are placed along transmit pattern side-lobe peaks and by using two weight amplitude distribution, side-lobe levels (SLL) can be suppressed up to −50dB. In this work, these techniques are further investigated using three weight amplitude excitation to achieve the best design of a radar array resulting in SLL less than −57dB. These solutions has been validated by parametric optimization and supported by two case studies.
{"title":"Two-Way Array Factor Supported by Thinning Strategy for An Improved Radar Performance","authors":"Rathod Rajender, Prof. K. R. Subhashini, B. P. Kumar","doi":"10.1109/NCC52529.2021.9530057","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530057","url":null,"abstract":"The presence of side-lobes which are adjacent to main-lobe are serious concern in radar systems. The amplitude distributions across the array aperture improves the side-lobe performance at the cost of directivity and hence aperture efficiency. The current two-way array pattern optimization techniques reveals that if the receive pattern nulls are placed along transmit pattern side-lobe peaks and by using two weight amplitude distribution, side-lobe levels (SLL) can be suppressed up to −50dB. In this work, these techniques are further investigated using three weight amplitude excitation to achieve the best design of a radar array resulting in SLL less than −57dB. These solutions has been validated by parametric optimization and supported by two case studies.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884953","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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