Pub Date : 2018-06-20DOI: 10.23919/IRS.2018.8448051
S. Pawliczek, R. Herschel, N. Pohl
This paper describes the development of a method using the phase information of an 80 GHz 3D synthetic aperture radar for high precision surface reconstruction. At first, an introduction of theory of phase unwrapping methods is given. Furthermore, the chosen unwrapping algorithm is discussed and applied to one range bin of a complex valued data cube, generated by an 80 GHz 3D synthetic aperture radar with a bandwidth of 25 GHz. Additionally, a method for phase unwrapping is proposed in case of objects crossing several range bins. The impact of diffraction and refraction on the reconstructed surface is discussed. To evaluate the resolution limits, the height profile is extracted and analyzed, resulting in a range resolution better than 50 μm. Finally, material imaging results are shown to underline the potential of the presented method for commercial radar imaging systems.
{"title":"High Precision Surface Reconstruction Based on Coherent Near Field Synthetic Aperture Radar Scans","authors":"S. Pawliczek, R. Herschel, N. Pohl","doi":"10.23919/IRS.2018.8448051","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448051","url":null,"abstract":"This paper describes the development of a method using the phase information of an 80 GHz 3D synthetic aperture radar for high precision surface reconstruction. At first, an introduction of theory of phase unwrapping methods is given. Furthermore, the chosen unwrapping algorithm is discussed and applied to one range bin of a complex valued data cube, generated by an 80 GHz 3D synthetic aperture radar with a bandwidth of 25 GHz. Additionally, a method for phase unwrapping is proposed in case of objects crossing several range bins. The impact of diffraction and refraction on the reconstructed surface is discussed. To evaluate the resolution limits, the height profile is extracted and analyzed, resulting in a range resolution better than 50 μm. Finally, material imaging results are shown to underline the potential of the presented method for commercial radar imaging systems.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115471799","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 : 2018-06-01DOI: 10.23919/IRS.2018.8448189
Jungmin Yoon, Seongwook Lee, Seong-Cheol Kim
In some road environments, such as those containing iron tunnels and guardrails, a meaningful target in the field of view of an automotive radar system cannot be detected because of the presence of high-intensity clutter signals. Thus, an automotive radar system requires an enhanced target detection method in environments such as these. In this paper, we propose a method to suppress the high-intensity clutter signals by using the relationship between the up-chirp and down-chirp received radar signals. The use of this relationship enables us to remove the signal components corresponding to the clutter from the received signal. The performance of the proposed method was evaluated by using the actual measurement data obtained from a commercialized automotive radar system. The results show that our proposed algorithm provides more stable and reliable target detection performance by suppressing the high-intensity clutter signals.
{"title":"Enhanced Target Detection in High-Intensity Clutter Environments for Automotive Radar Systems","authors":"Jungmin Yoon, Seongwook Lee, Seong-Cheol Kim","doi":"10.23919/IRS.2018.8448189","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448189","url":null,"abstract":"In some road environments, such as those containing iron tunnels and guardrails, a meaningful target in the field of view of an automotive radar system cannot be detected because of the presence of high-intensity clutter signals. Thus, an automotive radar system requires an enhanced target detection method in environments such as these. In this paper, we propose a method to suppress the high-intensity clutter signals by using the relationship between the up-chirp and down-chirp received radar signals. The use of this relationship enables us to remove the signal components corresponding to the clutter from the received signal. The performance of the proposed method was evaluated by using the actual measurement data obtained from a commercialized automotive radar system. The results show that our proposed algorithm provides more stable and reliable target detection performance by suppressing the high-intensity clutter signals.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127475923","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 : 2018-06-01DOI: 10.23919/IRS.2018.8447897
Esra Al Hadhrami, Maha Al Mufti, Bilal Taha, N. Werghi
In this paper, a new approach for classifying ground moving targets captured by Pulsed Doppler Radars is proposed. Radar echo signals express the doppler effect produced by the movement of targets. Those signals can be processed in different domains to attain distinctive characteristics of targets that can be used for target classification. Our proposed approach is based on utilizing a pre-trained Convolutional Neural Network (CNN), VGG16 and VGG19, as feature extractors whereas the output features were used to train a multiclass support vector machine (SVM) classifier. To evaluate our approach, we used RadEch database of 8 ground moving targets classes. Our approach outperformed the state of the art methods, using the same database, with an accuracy of 96.56%.
{"title":"Ground Moving Radar Targets Classification Based on Spectrogram Images Using Convolutional Neural Networks","authors":"Esra Al Hadhrami, Maha Al Mufti, Bilal Taha, N. Werghi","doi":"10.23919/IRS.2018.8447897","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447897","url":null,"abstract":"In this paper, a new approach for classifying ground moving targets captured by Pulsed Doppler Radars is proposed. Radar echo signals express the doppler effect produced by the movement of targets. Those signals can be processed in different domains to attain distinctive characteristics of targets that can be used for target classification. Our proposed approach is based on utilizing a pre-trained Convolutional Neural Network (CNN), VGG16 and VGG19, as feature extractors whereas the output features were used to train a multiclass support vector machine (SVM) classifier. To evaluate our approach, we used RadEch database of 8 ground moving targets classes. Our approach outperformed the state of the art methods, using the same database, with an accuracy of 96.56%.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126846601","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 : 2018-06-01DOI: 10.23919/IRS.2018.8448025
T. Martelli, R. Cardinali, F. Colone
In this paper, we report the latest developments obtained with the FM-based configuration of the AULOS® passive radar system designed by Leonardo SpA for air surveillance applications. Specifically, aiming at improving the target detection capability of the sensor, a robust disturbance cancellation technique is adopted. Moreover, to counteract the time-varying performance of the single FM channel we consider the joint exploitation of multiple FM radio channels. For the purposes, the recent processing techniques developed by the research group of Sapienza University of Rome have been successfully applied. The benefits of the proposed solutions have been extensively tested and validated against both traffic of opportunity and small cooperative targets. The reported results clearly show that the choice of appropriate processing strategies is critical for the performance of the resulting system and the exploitation of effective techniques allows a significant widening of its coverage.
{"title":"Detection performance assessment of the FM-based AULOS® Passive Radar for air surveillance applications","authors":"T. Martelli, R. Cardinali, F. Colone","doi":"10.23919/IRS.2018.8448025","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448025","url":null,"abstract":"In this paper, we report the latest developments obtained with the FM-based configuration of the AULOS® passive radar system designed by Leonardo SpA for air surveillance applications. Specifically, aiming at improving the target detection capability of the sensor, a robust disturbance cancellation technique is adopted. Moreover, to counteract the time-varying performance of the single FM channel we consider the joint exploitation of multiple FM radio channels. For the purposes, the recent processing techniques developed by the research group of Sapienza University of Rome have been successfully applied. The benefits of the proposed solutions have been extensively tested and validated against both traffic of opportunity and small cooperative targets. The reported results clearly show that the choice of appropriate processing strategies is critical for the performance of the resulting system and the exploitation of effective techniques allows a significant widening of its coverage.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116090604","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 : 2018-06-01DOI: 10.23919/IRS.2018.8447942
Álvaro Duque de Quevedo, Fernando Ibanez Urzaiz, J. G. Menoyo, Alberto Asensio López
This paper presents the design and experimental results on commercial-drone detection with a ubiquitous frequency modulated continuous wave (FMCW) radar system demonstrator, working at 8.75 GHz (X-band). The demonstrator is introduced and its main blocks are described, with particular attention to the PC-based signal processor. Subsequently, the document presents the chosen scenario for the tests, and shows the results of the offline processing, achieving a DJI-Phantom-4 detection at a range up to 2 km. The results are illustrated with range-Doppler matrices and detection figures. Range, speed and azimuth accuracies are discussed, considering the drone GPS data. Finally, the paper introduces statistical radar-cross-section (RCS) studies based on the processed data, in order to classify the drone as a Swerling target, and discusses the drone average RCS.
{"title":"Drone Detection With X-Band Ubiquitous Radar","authors":"Álvaro Duque de Quevedo, Fernando Ibanez Urzaiz, J. G. Menoyo, Alberto Asensio López","doi":"10.23919/IRS.2018.8447942","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447942","url":null,"abstract":"This paper presents the design and experimental results on commercial-drone detection with a ubiquitous frequency modulated continuous wave (FMCW) radar system demonstrator, working at 8.75 GHz (X-band). The demonstrator is introduced and its main blocks are described, with particular attention to the PC-based signal processor. Subsequently, the document presents the chosen scenario for the tests, and shows the results of the offline processing, achieving a DJI-Phantom-4 detection at a range up to 2 km. The results are illustrated with range-Doppler matrices and detection figures. Range, speed and azimuth accuracies are discussed, considering the drone GPS data. Finally, the paper introduces statistical radar-cross-section (RCS) studies based on the processed data, in order to classify the drone as a Swerling target, and discusses the drone average RCS.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123021009","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 : 2018-06-01DOI: 10.23919/IRS.2018.8447924
Thomas Gisder, Fabian Harrer, E. Biebl
This paper presents the vehicle integration of a synthetic aperture radar (SAR) algorithm to produce SAR images for automotive scenarios while driving. The focus of this work is on two parts. At the beginning, the hardware setup embedded in the test vehicle is presented as well as the sensor synchronization to provide SAR raw data. Subsequently, a pixel-based parallelization concept for stream-based SAR image calculation on a GPU is introduced. Our experimental results prove that the complete SAR imaging process can be integrated into a vehicle to produce online highly resolved amplitude maps for automated driving applications.
{"title":"Application Of A Stream-Based SAR-Backprojection Approach For Automotive Environment Perception","authors":"Thomas Gisder, Fabian Harrer, E. Biebl","doi":"10.23919/IRS.2018.8447924","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447924","url":null,"abstract":"This paper presents the vehicle integration of a synthetic aperture radar (SAR) algorithm to produce SAR images for automotive scenarios while driving. The focus of this work is on two parts. At the beginning, the hardware setup embedded in the test vehicle is presented as well as the sensor synchronization to provide SAR raw data. Subsequently, a pixel-based parallelization concept for stream-based SAR image calculation on a GPU is introduced. Our experimental results prove that the complete SAR imaging process can be integrated into a vehicle to produce online highly resolved amplitude maps for automated driving applications.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121965932","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 : 2018-06-01DOI: 10.23919/IRS.2018.8448070
Miika Tolonen, Piotr Ptak, Juha Hartikka, Mauno Ritola, A. Ludvig, Matti Korhonen, T. Kauranne
Use of illuminators of opportunity has made passive air traffic monitoring possible. In this paper the concept of a forward-scatter network for air traffic monitoring is introduced. Doppler-only from VHF multi-static radar is used to track aircraft, which as a configuration is a challenging way of tracking aircraft. Doppler shift can be easily determined from aircraft’s location, but determining its location from the Doppler shift is not directly possible. An inverse approach with the Extended Kalman filter is used to track aircraft position instead. The tracker is initialized with real flight data, but updates on location are done with Doppler-only measurements. The validity of the tracking system is verified with reference data based on Automatic dependent surveillance - broadcast (ADS-B) information.
{"title":"Resilient Multi-static Forward-scatter Network For Wide Area Air Traffic Monitoring","authors":"Miika Tolonen, Piotr Ptak, Juha Hartikka, Mauno Ritola, A. Ludvig, Matti Korhonen, T. Kauranne","doi":"10.23919/IRS.2018.8448070","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448070","url":null,"abstract":"Use of illuminators of opportunity has made passive air traffic monitoring possible. In this paper the concept of a forward-scatter network for air traffic monitoring is introduced. Doppler-only from VHF multi-static radar is used to track aircraft, which as a configuration is a challenging way of tracking aircraft. Doppler shift can be easily determined from aircraft’s location, but determining its location from the Doppler shift is not directly possible. An inverse approach with the Extended Kalman filter is used to track aircraft position instead. The tracker is initialized with real flight data, but updates on location are done with Doppler-only measurements. The validity of the tracking system is verified with reference data based on Automatic dependent surveillance - broadcast (ADS-B) information.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122090525","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 : 2018-06-01DOI: 10.23919/IRS.2018.8447923
Velibor Pejcic, S. Trömel, K. Mühlbauer, P. Saavedra, J. Beer, C. Simmer
The Global Precipitation Measurement core satellite (GPM) operates with a Ku-band and Ka-band Dual-frequency Precipitation Radar (DPR). This first space-borne DPR allows important global insights into three-dimensional precipitation structures from space. The polarimetric X-band research radar in Bonn (BoXPol), Germany, is part of an international network for ground validation of the GPM satellite. The nationwide German C-band radar network of the German Weather Service (RADOLAN) and a vertically pointing Micro Rain Radar (MRR) are used to evaluate the satellite based precipitation estimates, rain type and phase partitioning (solid, liquid, mixed phase). Three years of comparison (2014–2017) between GPM DPR and the ground-based observations from RADOLAN and BoXPol show high correlations. The near surface rain rates and reflectivities from the single and dual-frequency satellite products reveal robust correlations in summer but higher variability in winter. This can be attributed to reduced DPR performance for solid precipitation estimates which directly depends on the melting layer detection. Therefore, GPM-based vertical products like the bright band height and thickness used for phase partitioning require an in-depth evaluation. The measurements of the polarimetric X-band radars in Bonn and Jülich allow a more reliable and robust detection of the bright band which is compared with GPM-based results. The use of the temporal evolution of quasi vertical profiles (QVP) and column vertical profiles (CVP) sustain the polarimetric information and offer an optimal detection of the melting layer and phase partitioning during the development of precipitation systems. Furthermore, contoured frequency by altitude diagrams (CFAD) are used to compare reflectivity distributions.
{"title":"Synergy of GPM and ground-based radar observations for precipitation estimation and detection of microphysical processes","authors":"Velibor Pejcic, S. Trömel, K. Mühlbauer, P. Saavedra, J. Beer, C. Simmer","doi":"10.23919/IRS.2018.8447923","DOIUrl":"https://doi.org/10.23919/IRS.2018.8447923","url":null,"abstract":"The Global Precipitation Measurement core satellite (GPM) operates with a Ku-band and Ka-band Dual-frequency Precipitation Radar (DPR). This first space-borne DPR allows important global insights into three-dimensional precipitation structures from space. The polarimetric X-band research radar in Bonn (BoXPol), Germany, is part of an international network for ground validation of the GPM satellite. The nationwide German C-band radar network of the German Weather Service (RADOLAN) and a vertically pointing Micro Rain Radar (MRR) are used to evaluate the satellite based precipitation estimates, rain type and phase partitioning (solid, liquid, mixed phase). Three years of comparison (2014–2017) between GPM DPR and the ground-based observations from RADOLAN and BoXPol show high correlations. The near surface rain rates and reflectivities from the single and dual-frequency satellite products reveal robust correlations in summer but higher variability in winter. This can be attributed to reduced DPR performance for solid precipitation estimates which directly depends on the melting layer detection. Therefore, GPM-based vertical products like the bright band height and thickness used for phase partitioning require an in-depth evaluation. The measurements of the polarimetric X-band radars in Bonn and Jülich allow a more reliable and robust detection of the bright band which is compared with GPM-based results. The use of the temporal evolution of quasi vertical profiles (QVP) and column vertical profiles (CVP) sustain the polarimetric information and offer an optimal detection of the melting layer and phase partitioning during the development of precipitation systems. Furthermore, contoured frequency by altitude diagrams (CFAD) are used to compare reflectivity distributions.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129555355","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 : 2018-06-01DOI: 10.23919/IRS.2018.8448065
D. Luber, U. Siart
Maritime Conditions represent a challenging environment for radar detection due to the so-called sea clutter. It may lead to a lower probability of a correct target detection. Thus, a detailed modelling of sea clutter with its time-dependent correlations is crucial for evaluating the robustness of modern radar systems and their signal processing. This paper utilizes a stochastic approach to generate time-correlated sea clutter, dependent of the used radar system, the environment and the measuring geometry. Therefore, different models are used to determine the RCS of the illuminated sea surface, the time-dependent correlations and finally the statistical distribution of the received signal-amplitudes. Furthermore, bistatic radar geometries should be at the scope of this paper. Afterwards the simulated signal data is compared and validated with free accessible, recorded radar data from different locations and environmental conditions. The comparison with the correlation properties and probability density functions of the radar data shows good accordance with the data generated by the model. Furthermore the results show that generating sea clutter with the developed stochastic model and a minimum of basic observeable and available quantities (sea state, wind direction) is sufficient accurate and possible. By utilizing the presented method, time-correlated radar data, which imitates the different properties of real-world sea clutter, is generated in an efficient, less time consuming and reliable laboratory environment with a minimum of known environmental parameters.
{"title":"A Stochastic Model for the Generation of Correlated Sea Clutter","authors":"D. Luber, U. Siart","doi":"10.23919/IRS.2018.8448065","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448065","url":null,"abstract":"Maritime Conditions represent a challenging environment for radar detection due to the so-called sea clutter. It may lead to a lower probability of a correct target detection. Thus, a detailed modelling of sea clutter with its time-dependent correlations is crucial for evaluating the robustness of modern radar systems and their signal processing. This paper utilizes a stochastic approach to generate time-correlated sea clutter, dependent of the used radar system, the environment and the measuring geometry. Therefore, different models are used to determine the RCS of the illuminated sea surface, the time-dependent correlations and finally the statistical distribution of the received signal-amplitudes. Furthermore, bistatic radar geometries should be at the scope of this paper. Afterwards the simulated signal data is compared and validated with free accessible, recorded radar data from different locations and environmental conditions. The comparison with the correlation properties and probability density functions of the radar data shows good accordance with the data generated by the model. Furthermore the results show that generating sea clutter with the developed stochastic model and a minimum of basic observeable and available quantities (sea state, wind direction) is sufficient accurate and possible. By utilizing the presented method, time-correlated radar data, which imitates the different properties of real-world sea clutter, is generated in an efficient, less time consuming and reliable laboratory environment with a minimum of known environmental parameters.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790895","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 : 2018-06-01DOI: 10.23919/IRS.2018.8448060
B. Levitas, M. Drozdov, I. Naidionova, K. Kiela, Z. Tamosevicius, A. Mamaev
In this article, a portable stepped frequency radar for trough wall detection based on a software control transceiver chip was designed and presented The radar uses bow-tie phased-array antennas with reflectors, has an operational frequency band of 1 – 3.8 GHz and can be used for 2D or 3D target localization. Target coordinate localization formulas are also derived and presented.
{"title":"Stepped Frequency Software Defined Radar for Trough Wall Detection","authors":"B. Levitas, M. Drozdov, I. Naidionova, K. Kiela, Z. Tamosevicius, A. Mamaev","doi":"10.23919/IRS.2018.8448060","DOIUrl":"https://doi.org/10.23919/IRS.2018.8448060","url":null,"abstract":"In this article, a portable stepped frequency radar for trough wall detection based on a software control transceiver chip was designed and presented The radar uses bow-tie phased-array antennas with reflectors, has an operational frequency band of 1 – 3.8 GHz and can be used for 2D or 3D target localization. Target coordinate localization formulas are also derived and presented.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128703198","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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