{"title":"Design and Realization of Compact C- Band Monopulse Feed Using Additive Manufacturing","authors":"Vipin W. Paradkar, Ranadeep Saha, K. Sreekumar","doi":"10.1109/ICORT52730.2021.9582111","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9582111","url":null,"abstract":"A four horn monopulse tracking feed is used to generate tracking signal in a C-band tracking application. Choke flanges are incorporated at the aperture of array of pyramidal horns in order to achieve better pattern symmetry and reduction in sidelobes. An in-line polarizer is used against each horn to achieve multiple polarization i.e. VP, HP, RHCP and LHCP. The polarizer consists of an in-line waveguide structure - one fixed and one rotating waveguide sections to generate all four polarizations. Monopulse comparator is used to generate sum and difference signal. In order to realize the feed in a compact form factor, complex shapes, e.g. diagonal bends, have been used and manufacturing of these complex shapes would have been possible using additive manufacturing technology (Metallic 3D Printing). This made the feed very compact and light weight. Processes have been evolved to overcome the challenges with additive manufacturing for achieving desired accuracies. The feed assembly has been tested in a standard Antenna Test Range. Return loss of the system is achieved as better than −15dB and null depth of difference pattern is also better than −35dB. There has been a close agreement observed between the simulated and measured results.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385542","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}
{"title":"Textual Information Annotation Over Mission Video In Test Range Scenario","authors":"U. Soni, Soumitra Ray, Balaram Das","doi":"10.1109/ICORT52730.2021.9581419","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581419","url":null,"abstract":"The Real-Time Mission video can be made further informative by including text which gives information about it. This work describes the development of system which is used for annotation of textual information on Real time CCTV video during the missile launch campaigns. The system is developed over normal PC interfaced with required hardware for acquiring and distributing the data. The system is deployed with software based application developed over LabView. The software algorithm for developed application has been described in detail in the paper. A comparative performance analysis of both hardware and software based Real time CCTV video time insertion system is also discussed.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132503756","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}
M. Dasan, Gaurav Prusty, Aditya Machani, Elava S Perumal
{"title":"Beam Squint Mitigation Using Digital Beam Formers for Wideband Radar Applications","authors":"M. Dasan, Gaurav Prusty, Aditya Machani, Elava S Perumal","doi":"10.1109/ICORT52730.2021.9581465","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581465","url":null,"abstract":"In modern phased array radars, digital beamformers are used for beam steering in transmit and receive operations. Most of the conventional radars operate in narrowband applications with phase shift beamformers. The high-resolution imaging radars operating with wide bandwidths suffer from beam squint with phase shift beamformers. In this work, a methodology is proposed to address this effect through suitable corrections in the frequency domain. The focus is given for receive beam formation with squint correction using Linearly Frequency Modulated waveforms. The paper includes the analysis of beam squint with various parameters like bandwidth and steering angle. This is supported with results and associated discussions obtained at different stages of analysis.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130930846","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}
{"title":"Tracking of Object with Occlusion based on Normalized Cross Correlation and Kalman Filter Estimation","authors":"Satyabrata Sahu, G. Adhikari, Ranjan Kumar Dey","doi":"10.1109/ICORT52730.2021.9581456","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581456","url":null,"abstract":"This paper proposes an algorithm that uses Normalized Cross Correlation (NCC) and Kalman Filter (KF) for object tracking. Occlusion during visual tracking reduces the tracking performance and may even lead to track loss. Partial occlusion may cause target template get corrupted. During complete occlusion, false target tracking may take place as actual target is not present in the scene. This paper proposes a method combination of correlation tracking based on NCC and Kalman filter based Outlier Detection algorithm for robust tracking during occlusion. The outlier detection algorithm works based on adaptive bound for innovation in Kalman filter and detects presence of occlusion. Once the outlier is detected, the prediction of Kalman filter estimation is used to predict the target position. The results of track during occlusion in presence of false target show the robustness of this approach.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"187 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131692261","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}
{"title":"A Novel Method on Summarization of Video Using Local Ternary Pattern and Local Phase Quantization","authors":"Jharna Majumdhar, S. Nayak","doi":"10.1109/ICORT52730.2021.9581941","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581941","url":null,"abstract":"In last decade, Video Summarization (VS) approach is playing a pivotal role in the analysis of the Video contents. The methodologies involved in Video Summarization have wide range of applications in the field of defense for video surveillance, intrusion, object detection, Video Browsing, Content-based Video Retrieval and Storage etc. In this study, we have proposed video summarization techniques to extract the frames of interest. Then, video summarization has determined by the advanced texture descriptors. Local Ternary Pattern (LTP) & Local Phase Quantization (LPQ) are the texture descriptor methods used to provide an efficient video summarization process. These methodologies are in conformity with the elimination of redundant frames in a video as well as the maintenance of user defined number of distinctive images. Then apply the clustering process, which is an unsupervised machine learning algorithms, such as, Affinity Propagation and BIRCH, are utilized to cluster the similar frames into one group. These methodologies confirm that the summary of video denotes the most distinctive frames of the input video, which results the same importance to preserve the continuousness of the summarized video.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123877583","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}
{"title":"Microstrip Hybrid Corporate-Series Feed Network for Low Sidelobe Monopulse Antenna Arrays","authors":"D. Nagaraju, Bivin G. Mathew, Y. Verma","doi":"10.1109/ICORT52730.2021.9581957","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581957","url":null,"abstract":"This paper presents a microstrip-based hybrid corporate-series feed network to realize low sidelobe levels for monopulse antenna arrays with circular symmetry. The central elements of the array are corporate fed by replicating 2×2 subarray and the remaining edge elements are series fed by taking feed points from the non-radiating edge of the preceding antenna elements. This novel feed network is implemented to design a linearly polarized, broadband, stacked patch monopulse antenna array at X-band. The sidelobe level of the antenna array is −24 dB. The diameter of the antenna array is 9λ. The impedance bandwidth of the antenna array is 10% for VSWR < 2. Rat-race hybrid-based comparator has been implemented for the monopulse operation of the antenna. The measured results show a sum pattern peak gain of 24 dBi with the gain variation of 1.5 dB over 10% impedance bandwidth, beamwidth is about 8 deg. in both E- and H-planes. The difference patterns show a null-depth of better than −30 dB over the bandwidth with a maximum null-depth of about −50 dB.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945005","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}
Himadri Shekhar Das, H. Das, Sukanta Bhattacharjee
{"title":"Forecasting Upper Air Wind Speed using a Hybrid SVR-LSTM Model","authors":"Himadri Shekhar Das, H. Das, Sukanta Bhattacharjee","doi":"10.1109/ICORT52730.2021.9581478","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581478","url":null,"abstract":"Upper air wind data is collected by a process known as Radiosounding. Since the experiments are conducted as per requirement, the interval between data points is not regular, resulting in an irregular time series which are not much explored in the existing literature for forecasting. Traditional approaches like autoregression (AR), moving average (MA) and their derivatives donot work on irregular time series. In the first phase of this study, we use simple linear regression (SLR), polynomial regressions (PR) and support vector regressions (SVR) to forecast upper air wind speed. In the second phase, a hybrid SVR-LSTM model is proposed for forecasting. Upper wind data at Chandipur, Odisha from 2007 to 2010 has been used for training and testing the models. The results are compared in terms of Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). Experimental results show that the proposed hybrid model performes better than traditional machine learning regression techniques.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122526038","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}
J. Mansukhani, D. Penchalaiah, Abhijit Bhattacharyya
{"title":"RCS Based Target Classification Using Deep Learning Methods","authors":"J. Mansukhani, D. Penchalaiah, Abhijit Bhattacharyya","doi":"10.1109/ICORT52730.2021.9581336","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581336","url":null,"abstract":"In this paper, RCS-based target classification using the deep learning method is proposed. Illumination of targets with narrow-band radar signals results in backscattering of the incident energy from the target. The backscattered signal is a function of the target's geometry and its material. The reflected signal carries useful information and can be utilized to identify and classify the target. The RCS is a measure of this property of the target and has been exploited as an extracted feature in our work. The required labeled data is simulated using the SBR method in HFSS. RNN/LSTM is proposed for training and testing the deep learning model. Various models are trained and the best classification accuracy achieved is 98.1%.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121849591","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}
{"title":"Supplemented Thrust Reversal Contraption for Enhanced Flight Termination System (EFTS)","authors":"Bibhorr ., Chirag Anand","doi":"10.1109/ICORT52730.2021.9581587","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581587","url":null,"abstract":"Missiles and spacecrafts utilize Flight Termination Systems (FTS) as a standard safety criterion to abort all the functions of the vehicle at the time when a mission failure, in the form of an unrecoverable disturbance in flight trajectory, signal communication failure, or any other technical fault, is detected. With the increasing space activities across nations and considering the practical space traffic problems to be encountered during the advent of safe and comfortable space travel, flight termination systems would be critically valuable in managing and manipulating space traffic accidents. Depending upon the type of space mission, different types of FTS, characterized by unique features, may be employed viz., self-destruct system, parachute release system, separation system, etc. A complete FTS has three main sub-units: receiver, safe and arm device and termination system. When the standard features of a termination unit are combined with new enhanced prototypes, it results in better performance and intensified resultant outcomes. A supplemented thrust reversal mechanism is proposed to gain the enhanced capabilities of Flight Termination System. This supplemented thrust reversal contraption works as multi-axial motion controller for trajectory monitoring and regulation, as it independently controls roll, yaw and pitch thrust vectors irrespective of the functioning of the main propulsion unit and thus offers a better performance in an advanced space traffic scenario as a constituent model within spacecraft's FTS.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127832825","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}
{"title":"Improved Prediction of Diabetes Mellitus using Machine Learning Based Approach","authors":"Madhumita Pal, Smita Parija, G. Panda","doi":"10.1109/ICORT52730.2021.9581774","DOIUrl":"https://doi.org/10.1109/ICORT52730.2021.9581774","url":null,"abstract":"The diabetes is one of the most commonly occurring chronic diseases in human being. Statistical models are availabel for prediction of diabetes but these provide poor performance. This article proposed machine learning based model for prediction of diabetes disease. Three supervised machine learning algorithms namely K-NN, Linear SVM and Random Forest have been chosen for diabetes prediction for early diagnosis. The area under the curve and accuracy of each of these models have been obtained using PIMA Indian Diabetes dataset from UCI repository. The comparative results demonstrate that among these three algorithms random forest is the best model in terms of accuracy of 78.57 and AUC of 95.08 for diabetes risk prediction. The contribution of this article will help the healthcare professionals for the early prediction of the disease and taking appropriate treatment. The proposed approach can be applied for detection of other diseases.","PeriodicalId":344816,"journal":{"name":"2021 2nd International Conference on Range Technology (ICORT)","volume":"18 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133749036","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}