K. M. D. babu, G. Vaidyanathan, Jvn Ravikumar, P. Sunil
{"title":"NavIC and GPS State Vector as Tracking Sources for Flight Safety","authors":"K. M. D. babu, G. Vaidyanathan, Jvn Ravikumar, P. Sunil","doi":"10.1109/ICORT46471.2019.9069659","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069659","url":null,"abstract":"For any launch vehicle flown with a flight termination system, the primary requirement is to know the current state vector of the vehicle from at least two different sources of tracking system out of which at least one should be independent of the vehicle navigation system. Radars operating in C-band and S-band are being currently used as primary source for tracking ISRO's launch vehicles. The maintenance and upkeep of these radars are very expensive. Till now, NavIC and GPS data are used only to correct the Inertial Navigation system(INS) data in ISRO. But, when INS loses its reference, this correction is not possible. To increase the tracking sources, this paper proposes to use the position and velocity information from NAVIC and GPS receivers directly for flight safety decision making purposes. In future, these tracking sources can also be used in autonomous flight safety systems to improve source diversity.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122944378","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 Clustering Algorithm for Faster Passive Sensor Measurement Association","authors":"Hari Sankar Rokkam","doi":"10.1109/ICORT46471.2019.9069670","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069670","url":null,"abstract":"This paper proposes a novel clustering algorithm for static passive sensor measurement association. The algorithm clusters line of sight (LOS) measurements based on the valid solutions of pairwise triangulation between measurements of different sensors. Each valid triangulation solution will give a range value along the LOS as possible target location. Clusters are formed based on the pairwise distance between these range values. The criteria for the validity of a triangulation solution and cluster formation depend on the measurement noise of sensors and geometry of possible target and sensor locations. Intensity of space intersection and association cost of each cluster are used to select association solutions among available clusters. Several algorithms for passive sensor measurement association exist in literature like S-D assignment, Seq(2-D), $mathrm{S}_{o}-mathrm{D}+text{Seq}(2-mathrm{D})$ and algorithms based on intensity of space intersection, however, they are still cumbersome to be implemented in real time. An effort has been made through this novel algorithm to reduce computation time for a feasible real time implementation.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122158379","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":"Data Fusion algorithms to improve test range sensors accuracy and precision","authors":"Alessandro Urru, Davide Piras, A. Palmas","doi":"10.1109/ICORT46471.2019.9069667","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069667","url":null,"abstract":"Data fusion technology is used in many research areas, such as image processing, automotive, robotics, defense and aerospace. The need to fuse data from different sensors reflects the demand for enhanced measurements precision. Every sensor has pro and cons, data fusion technology for tracking purposes in a test range is supposed to leverage the highest quality features of each sensor to obtain a better position estimation. This paper presents NT multi-sensor tracking algorithm, it is developed to receive target position information from different tracking sensors, radar and electro-optical, and use data fusion technology to obtain better quality data compared to the one provided by a single sensor alone. The algorithm uses a fusion technique which permits a huge performance boost: it associates a weight to every sensor calculated using Kalman filters, properly modeled, to estimate sensor measurements deviations from the estimated target position. These weights help the algorithm understanding which sensor is more reliable and to estimate the best possible position, which is very close to the real target position. Real case tracking scenarios are presented, where the algorithm is tested and compared with reference trajectory data to estimate its accuracy.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128977178","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}
D. Biswas, Asif Rizwan, Anil Kumar B, Bharama Nayak, S. G. Manjunath
{"title":"Multipath Radio Propagation in a UAV Test Range","authors":"D. Biswas, Asif Rizwan, Anil Kumar B, Bharama Nayak, S. G. Manjunath","doi":"10.1109/ICORT46471.2019.9069666","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069666","url":null,"abstract":"Multipath takes place when a radio wave propagates and reaches to the receiver from many directions. It is a result of bouncing of electromagnetic radiation caused by the environments of the intended path of propagation and is unavoidable in a practical scenario. The impact of multipath propagation may lead to certain degree of undesirable signal distortion in the wireless data communication to a UAV. The paper discusses various constituents and parameters in a test range that influence the operation of several radio data links in different frequencies.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114114194","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}
Pravin Swami, P. Kannadasan, S. M. Alli, Vijaya Raj Gandepudi, P. R. Sahu
{"title":"Aeronautic Telemetry Channel Estimation Using Field Data","authors":"Pravin Swami, P. Kannadasan, S. M. Alli, Vijaya Raj Gandepudi, P. R. Sahu","doi":"10.1109/ICORT46471.2019.9069622","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069622","url":null,"abstract":"Aeronautic telemetry is prone to channel impairments like noise and multipath fading. The system under study uses PCM/FM scheme. Understanding the channel behavior will help the link designer in applying suitable mitigation mechanism like equaliser or FEC. In this paper, field data obtained from this channel is used to estimate and characterise the wireless channel, exploiting the frame sync patterns in the PCM format, without performing channel sounding experiment. The channel excitation signal is obtained by performing PCM/FM on the sync pattern. The channel response is obtained by retrieving portion of the IF signals at receiver, containing the frame sync pattern, using signal correlation. Using LMS technique, the coefficients of the assumed FIR filter model of the wireless channel are estimated. The estimation is performed on known FIR filter coefficients for validation of the process. All the algorithms are implemented in NI LabVIEW.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116504454","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":"Design of Integrated Wideband Passive Band-pass Filter for WiMAX, WLAN and 5G Communication Systems using 180 nm Technology","authors":"Kamleshwari Sanga, R. Ghatak","doi":"10.1109/ICORT46471.2019.9069652","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069652","url":null,"abstract":"This paper presents an integrated circuit technology based passive band-pass filter for a wideband of 2-6 GHz frequency, which covers operating frequency of WLAN, WiMAX, and 5G communication. Proposed BPF is designed by cascading a 5th order elliptic LPF with 7th order Chebyshev HPF. The layout of the proposed schematic is implemented in UMC 180 nm CMOS technology. Results obtained from the simulation of the schematic as well as that of the post-layout simulation are in close agreement. It is found that the proposed BPF have suitable insertion loss, return loss, sharp cut off and compact chip area of 2 mm2. The schematic, layout, response and final specification of the proposed BPF are shown below. Here a single BPF can cover the functionality of multiple BPF working in multiband, hence reducing circuit complexity and size.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125611033","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":"Enhanced MRF based Super Resolution Method for Remote Sensing Images","authors":"S. Deepak, D. Patra","doi":"10.1109/ICORT46471.2019.9069619","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069619","url":null,"abstract":"In this paper, a learning based enhanced Markov Random Field (MRF) based super resolution reconstruction (SRR) method for remote sensing image with embedded Image Euclidean distance (IMED) is proposed. A robust and transformation invariant similarity metric IMED is integrated for modelling compatibility functions (CF) and finding the similarity between image patches. Unlike traditional Euclidean distance, IMED takes into consideration the spatial relationships of pixels as well as the smallest deformation and therefore provides reasonable result. Further, an iterative belief propagation (BP) algorithm is used to find the optimal candidate patches and therefore high resolution (HR) patches. The experimental results demonstrate that the proposed method outperforms some of the state-of-the-art methods.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995038","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":"Automatic Target Recognition Using Recurrent Neural Networks","authors":"Bharat Sehgal, H. S. Shekhawat, Sumita Jana","doi":"10.1109/ICORT46471.2019.9069656","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069656","url":null,"abstract":"Automatic target recognition (ATR) using recurrent neural networks (RNN) is being proposed in this work. When electromagnetic waves from radar illuminate the targets, surface currents are produced which results in scattering of the incident energy. The scattered signal in the direction of radar is received as the radar signature of the target. The radar cross section (RCS) is an important feature extracted from the radar signature which is used in this work for target identification. The RCS values for each set of azimuth and elevation angles for a mono-static configuration serves the purpose of the dataset for the recurrent neural network (RNN)/long short-term memory (LSTM) model. The classification accuracy of 93 percent was achieved using the RNN/LSTM model.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128816572","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}
Somnath Mahato, Atanu Santra, Sukabya Dan, A. Bose
{"title":"Low-cost GNSS modules for Precise Positioning","authors":"Somnath Mahato, Atanu Santra, Sukabya Dan, A. Bose","doi":"10.1109/ICORT46471.2019.9069613","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069613","url":null,"abstract":"Low-cost (around 100–200 US$), compact, low-power consuming GNSS modules are being increasingly available in the global market recently; precision and capability of such modules may open new prospects of solution developments. One of the methods of enhancing the quality of solution is the use of Real-Time Kinematic (RTK) method using such modules. This paper presents the results of the preliminary studies on the performance of such modules using Multi-GNSS from India. Comparison of performances of geodetic receiver and low-cost receiver as Base and low-cost, single frequency receivers as Rovers operating in short-baseline, static mode has been presented here. The results show decimeter-level solution performance in both the cases; the results may be useful in enhancing the confidence of using such systems for various applications including strategic ones.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422939","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":"Avionics ICD representation using JSON for Configurable Data Analyzer","authors":"Aleena Sasikumar, N. Prem, J. Satyanarayana","doi":"10.1109/ICORT46471.2019.9069618","DOIUrl":"https://doi.org/10.1109/ICORT46471.2019.9069618","url":null,"abstract":"The Interface Control Document(ICD) represents the details of information being transferred between the avionics subsystems during its different phases of operation. The ICD is generated as a result of meticulous study on the subsystems and their interfaces during System architecture and design. It is usually in the .doc and .pdf format which is rarely machine-understandable, due to lack of standard templates and notations for identifying the data types and encoding mechanism. The ICDs are written for human understanding and not for software. The ICD information is implemented in the form of data decoding and encoding in many OnBoard software, test support and utility software of the avionics project and hence the ICD becomes the core point of changes for all those software applications during the project lifecycle. Changes in the ICD leads to changes in a number of software applications; which in turn leads to software updates, testing and validation in the short span of time. This paper covers the technique of entering the ICD information, representation of ICD and saving in the JSON format. JSON-Java Script Object Notation is both human and computer understandable format and the benefits of using it is covered in this paper. Configurable software is one that can be configured to run differently to meet different types of needs, instead of changing the lines of code and making different builds and versions. The machine understandable representation of ICD is a remarkable achievement, since it is the first step to auto-code generation, configurable software development and test automation; finally all these are going to cut short the overall project cost and time. Quick development of generic avionics data analysis software and telemetry display software are already proven and deployed successfully using this technique.","PeriodicalId":147815,"journal":{"name":"2019 International Conference on Range Technology (ICORT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129644752","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}