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Mittmann Voigt, G. H., Irion Alves, D., Müller, C., Machado, R., Ramos, L. P., Vu, V. T. & Pettersson, M. (2023). A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images. Remote Sensing, 15(9), Article ID 2401.
Open this publication in new window or tab >>A Statistical Analysis for Intensity Wavelength-Resolution SAR Difference Images
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2023 (English)In: Remote Sensing, E-ISSN 2072-4292, Vol. 15, no 9, article id 2401Article in journal (Refereed) Published
Abstract [en]

This paper presents a statistical analysis of intensity wavelength-resolution synthetic aperture radar (SAR) difference images. In this analysis, Anderson Darling goodness-of-fit tests are performed, considering two different statistical distributions as candidates for modeling the clutter-plus-noise, i.e., the background statistics. The results show that the Gamma distribution is a good fit for the background of the tested SAR images, especially when compared with the Exponential distribution. Based on the results of this statistical analysis, a change detection application for the detection of concealed targets is presented. The adequate selection of the background distribution allows for the evaluated change detection method to achieve a better performance in terms of probability of detection and false alarm rate, even when compared with competitive performance change detection methods in the literature. For instance, in an experimental evaluation considering a data set obtained by the Coherent All Radio Band Sensing (CARABAS) II UWB SAR system, the evaluated change detection method reached a detection probability of 0.981 for a false alarm rate of 1/km2. © 2023 by the authors.

Place, publisher, year, edition, pages
MDPI, 2023
Keywords
background statistics, CARABAS-II, change detection method, SAR, UWB
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-24621 (URN)10.3390/rs15092401 (DOI)000988128500001 ()2-s2.0-85159359279 (Scopus ID)
Available from: 2023-05-26 Created: 2023-05-26 Last updated: 2023-08-28Bibliographically approved
Campos, A. B., Molin, R. D., Ramos, L. P., MacHado, R., Vu, V. T. & Pettersson, M. (2023). Adaptive Target Enhancer: Bridging the Gap between Synthetic and Measured SAR Images for Automatic Target Recognition. In: Proceedings of the IEEE Radar Conference: . Paper presented at 2023 IEEE Radar Conference, RadarConf23, San Antonia, 1 May through 5 May 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023
Open this publication in new window or tab >>Adaptive Target Enhancer: Bridging the Gap between Synthetic and Measured SAR Images for Automatic Target Recognition
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2023 (English)In: Proceedings of the IEEE Radar Conference, Institute of Electrical and Electronics Engineers (IEEE), 2023, Vol. 2023Conference paper, Published paper (Refereed)
Abstract [en]

Automatic target recognition (ATR) algorithms have been successfully used for vehicle classification in synthetic aperture radar (SAR) images over the past few decades. For this application, however, the scarcity of labeled data is often a limiting factor for supervised approaches. While the advent of computer-simulated images may result in additional data for ATR, there is still a substantial gap between synthetic and measured images. In this paper, we propose the so-called adaptive target enhancer (ATE), a tool designed to automatically delimit and weight the region of an image that contains or is affected by the presence of a target. Results for the publicly released Synthetic and Measured Paired and Labeled Experiment (SAMPLE) dataset show that, by defining regions of interest and suppressing the background, we can increase the classification accuracy from 68% to 84% while only using artificially generated images for training. © 2023 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
IEEE International Conference on Radar (RADAR), ISSN 1097-5764, E-ISSN 2640-7736
Keywords
Adaptive filtering, automatic target recognition (ATR), MSTAR, SAMPLE, synthetic aperture radar (SAR), Adaptive filters, Automatic target recognition, Classification (of information), Image enhancement, Radar imaging, Radar measurement, Radar target recognition, Additional datum, Labeled data, Simulated images, Synthetic and measured paired and labeled experiment, Synthetic aperture radar, Synthetic aperture radar images, Target recognition algorithms, Vehicle classification
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-25225 (URN)10.1109/RadarConf2351548.2023.10149739 (DOI)001031599600197 ()2-s2.0-85163779747 (Scopus ID)9781665436694 (ISBN)
Conference
2023 IEEE Radar Conference, RadarConf23, San Antonia, 1 May through 5 May 2023
Available from: 2023-08-07 Created: 2023-08-07 Last updated: 2023-08-24Bibliographically approved
Batra, A., Ivanenko, Y., Vu, V. T., Wiemeler, M., Pettersson, M., Goehringer, D. & Kaiser, T. (2023). Analysis of Surface Roughness with 3D SAR Imaging at 1.5 THz. In: 2023 48TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES, IRMMW-THZ: . Paper presented at 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), SEP 17-22, 2023, McGill Univ, Montreal, CANADA. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Analysis of Surface Roughness with 3D SAR Imaging at 1.5 THz
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2023 (English)In: 2023 48TH INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES, IRMMW-THZ, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

The expansion of the synthetic aperture radar (SAR) to the emerging THz spectrum has enabled a new era of applications in the areas of automobile, security, non-destructive testing, and material characterization. Thanks to the sub-mm wavelength, extraction of material surface properties is possible and of significant interest for the THz SAR applications. The properties define the surface scattering behavior, which is relational to the applied frequency. This study focuses on surface classification. We evaluate the scattering behavior of a rough surface and a smooth surface at 1.5 THz based on a SAR processing sequence that is introduced in this paper. First, we form the 3D SAR images of the metallic objects and then evaluate the surface properties based on the variation in the energy reflected by the object's surface.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
International Conference on Infrared Millimeter and Terahertz Waves, ISSN 2162-2027
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-25848 (URN)10.1109/IRMMW-THz57677.2023.10299181 (DOI)001098999800330 ()979-8-3503-3660-3 (ISBN)
Conference
48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), SEP 17-22, 2023, McGill Univ, Montreal, CANADA
Available from: 2024-01-02 Created: 2024-01-02 Last updated: 2024-01-03Bibliographically approved
Ivanenko, Y., Vu, V. T. & Pettersson, M. (2023). Autofocusing of THz SAR Images by Integrating Compressed Sensing into the Backprojection Process. In: Proceedings of the IEEE Radar Conference: . Paper presented at 2023 IEEE Radar Conference, RadarConf23, San Antonia, 1 May through 5 May 2023. Institute of Electrical and Electronics Engineers (IEEE), 2023
Open this publication in new window or tab >>Autofocusing of THz SAR Images by Integrating Compressed Sensing into the Backprojection Process
2023 (English)In: Proceedings of the IEEE Radar Conference, Institute of Electrical and Electronics Engineers (IEEE), 2023, Vol. 2023Conference paper, Published paper (Refereed)
Abstract [en]

The THz frequency spectrum provides an opportunity to explore high-resolution synthetic-aperture-radar (SAR) short-range imaging that can be used for various applications. However, the performance of THz SAR imaging is sensitive to phase errors that can be caused by an insufficient amount of data samples for image formation and by path deviations that can be practically caused by SAR platform vibrations, changes in speed, changes in direction, and acceleration. To solve the former problem, an improved interpolation procedure for backprojection algorithms has been proposed. However, to make these algorithms efficient in handling the latter problem, an additional autofocusing is necessary. In this paper, we introduce an autofocusing procedure based on compressed sensing that is incorporated into the backprojection algorithm. The reconstruction is based on the following calculated parameters: windowed interpolation sinc kernel, and range distances between SAR platform and image pixels in a defined image plane. The proposed approach is tested on real data, which was acquired by the 2\pi FMCW SAR system through outdoor SAR imaging. © 2023 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
IEEE International Conference on Radar (RADAR), ISSN 1097-5764, E-ISSN 2640-7736
Keywords
Autofocusing, Compressed Sensing, FMCW SAR, THz, Frequency modulation, Interpolation, Radar imaging, Synthetic aperture radar, Terahertz waves, Auto-focusing, Backprojection algorithms, Backprojections, Compressed-Sensing, FMCW synthetic-aperture-radar, Frequency spectra, Synthetic aperture radar images, Synthetic aperture radar imaging, THz frequencies
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-25226 (URN)10.1109/RadarConf2351548.2023.10149760 (DOI)001031599600217 ()2-s2.0-85163791710 (Scopus ID)9781665436694 (ISBN)
Conference
2023 IEEE Radar Conference, RadarConf23, San Antonia, 1 May through 5 May 2023
Projects
Multistatic High-resolution Sensing at THz, Project-ID A17
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2023-08-07 Created: 2023-08-07 Last updated: 2023-08-24Bibliographically approved
Alves, D. i., Palm, B., Hellsten, H., Machado, R., Vu, V. T., Pettersson, M. & Dammert, P. (2023). Change Detection Method for Wavelength-Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach. IEEE Access, 11, 84734-84743
Open this publication in new window or tab >>Change Detection Method for Wavelength-Resolution SAR Images Based on Bayes’ Theorem: An Iterative Approach
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 84734-84743Article in journal (Refereed) Published
Abstract [en]

This paper presents an iterative change detection (CD) method based on Bayes’ theorem for very high-frequency (VHF) ultra-wideband (UWB) SAR images considering commonly used clutter-plus-noise statistical models. The proposed detection technique uses the information of the detected changes to iteratively update the data and distribution information, obtaining more accurate clutter-plus-noise statistics resulting in false alarm reduction. The Bivariate Rayleigh and Bivariate Gaussian distributions are investigated as candidates to model the clutter-plus-noise, and the Anderson-Darling goodness-of-fit test is used to investigate three scenarios of interest. Different aspects related to the distributions are discussed, the observed mismatches are analyzed, and the impact of the distribution chosen for the proposed iterative change detection method is analyzed. Finally, the proposed iterative method performance is assessed in terms of the probability of detection and false alarm rate and compared with other competitive solutions. The experimental evaluation uses data from real measurements obtained using the CARABAS II SAR system. Results show that the proposed iterative CD algorithm performs better than the other methods. Author

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Bayes’ theorem, CARABAS II, Data models, Gaussian distribution, Histograms, iterative change detection, Iterative methods, Radar polarimetry, SAR, Stability analysis, Surveillance, wavelength-resolution SAR images, Change detection, Clutter (information theory), Errors, Image segmentation, Radar clutter, Radar imaging, Synthetic aperture radar, Ultra-wideband (UWB), Baye's theorem, CARABAS, Histogram, SAR Images, Stability analyze, Wavelength resolution, Wavelength-resolution SAR image
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-25326 (URN)10.1109/ACCESS.2023.3303107 (DOI)001049927400001 ()2-s2.0-85167776056 (Scopus ID)
Available from: 2023-08-25 Created: 2023-08-25 Last updated: 2023-09-04Bibliographically approved
Ludwig Barbosa, V., Rasch, J., Sievert, T., Carlström, A., Pettersson, M., Vu, V. T. & Christensen, J. (2023). Detection and localization of F-layer ionospheric irregularities with the back-propagation method along the radio occultation ray path. Atmospheric Measurement Techniques, 16(7), 1849-1864
Open this publication in new window or tab >>Detection and localization of F-layer ionospheric irregularities with the back-propagation method along the radio occultation ray path
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2023 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 16, no 7, p. 1849-1864Article in journal (Refereed) Published
Abstract [en]

The back propagation (BP) method consists of diffractive integrals computed over a trajectory path, projecting a signal to different planes. It unwinds the diffraction and multipath, resulting in minimum disturbance on the BP amplitude when the auxiliary plane coincides with the region causing the diffraction. The method has been previously applied in GNSS Radio Occultation (RO) measurements showing promising results in the location estimate of ionospheric irregularities but without complementary data to validate the estimation. In this study, we investigate with wave optics propagator (WOP) simulations of an equatorial C/NOFS occultation with scintillation signatures caused by an equatorial plasma bubble (EPB), which was parametrized with aid of collocated data. In addition, a few more test cases were designed to assess the BP method regarding size, intensity and placement of single and multiple irregularity regions. The results show a location estimate accuracy of 10 km (single bubble, reference case), where in multiple bubble scenarios only the strongest disturbance would be resolved properly. The minimum detectable disturbance level and the estimation accuracy depend on the receiver noise level, and in the case of several bubbles on the distance between them. The remarks of the evaluation supported the interpretation of results for two COSMIC occultations.

Place, publisher, year, edition, pages
Copernicus Publications, 2023
National Category
Meteorology and Atmospheric Sciences
Research subject
Systems Engineering
Identifiers
urn:nbn:se:bth-22798 (URN)10.5194/amt-2022-57 (DOI)000962705900001 ()2-s2.0-85152796342 (Scopus ID)
Projects
Swedish National Space Board, NRFP-4
Funder
Swedish National Space Board
Available from: 2022-03-28 Created: 2022-03-28 Last updated: 2023-05-01Bibliographically approved
Javadi, S., Palm, B., Vu, V. T., Pettersson, M. & Sjögren, T. (2023). Harbour Area Change Detection and Analysis Using SAR Images from a Recent Measurement Campaign. In: Proceedings of the IEEE Radar Conference 2023: . Paper presented at IEEE International Radar Conference, RADAR 2023, Sydney, 6 November through 10 November 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Harbour Area Change Detection and Analysis Using SAR Images from a Recent Measurement Campaign
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2023 (English)In: Proceedings of the IEEE Radar Conference 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Synthetic aperture radar (SAR) data are widely used for remote sensing applications, such as change detection and environmental monitoring. This paper presents a recent measurement campaign for SAR images using the LORA system and investigates the applicability of the collected data for change detection. The region of interest in this study is a busy commercial harbour area in the south of Sweden. During the measurements, there were significant changes on the ground in the parking lot as trucks were disembarking a ship. The obtained SAR images were first filtered to have similar regions of interest in the Fourier domain to increase the coherence magnitude. Then, a constant false alarm rate (CFAR) algorithm was employed to detect changes with respect to trucks. In addition, optical aerial images were collected during this measurement campaign and were utilized to adjust the CFAR detection threshold. As a result, all the changed and unchanged regions corresponding to the selected targets were detected successfully. Moreover, a pattern of trucks’ utilization of the harbour’s parking lot during this peak time was obtained. The results demonstrate the applicability of the data from the ongoing measurement campaign and the possibility of further algorithm development for target detection and classification.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
IEEE International Conference on Radar (RADAR), ISSN 1097-5764, E-ISSN 2640-7736
Keywords
aerial images, CFAR detector, change detection, LORA system, SAR images
National Category
Remote Sensing
Identifiers
urn:nbn:se:bth-25853 (URN)10.1109/radar54928.2023.10371086 (DOI)2-s2.0-85182738528 (Scopus ID)
Conference
IEEE International Radar Conference, RADAR 2023, Sydney, 6 November through 10 November 2023
Available from: 2024-01-03 Created: 2024-01-03 Last updated: 2024-02-05Bibliographically approved
Ludwig Barbosa, V., Rasch, J., Carlstrom, A., Christensen, J., Vu, V. T. & Pettersson, M. (2023). Location of Ionospheric Irregularities in Extended GNSS-RO Measurements Using Back Propagation Method. In: 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023: . Paper presented at 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS, Sapporo, 19 Aug - 26 Aug 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Location of Ionospheric Irregularities in Extended GNSS-RO Measurements Using Back Propagation Method
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2023 (English)In: 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Besides providing electron density profiles (EDP), GNSS Radio Occultation (GNSS-RO) measurements allow monitoring the frequency and the areas where ionospheric scintillations occur. In this work, RO measurements composing an experimental data set are processed with the back propagation (BP) method to estimate the location of sporadic E-clouds and equatorial plasma bubbles (EPB). The data set includes non-conventional measurements tracked up to 600 km (generally around 80 km), covering F-region heights, shortly before MetOp-A was decommissioned. Results indicate the combination of extended occultations and the BP method is promising for monitoring the occurrence and characterizing ionospheric irregularities in the F-region and the E-region. © 2023 International Union of Radio Science.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Atmospheric electricity, E region, F region, Ionospheric measurement, Back Propagation, Conventional measurements, Data set, Electron-density profile, Equatorial plasma bubble, Ionospheric irregularities, Ionospheric scintillation, Propagation method, Radio occultation measurements, Sporadic E, Backpropagation
National Category
Remote Sensing
Identifiers
urn:nbn:se:bth-25587 (URN)10.23919/URSIGASS57860.2023.10265478 (DOI)2-s2.0-85175144109 (Scopus ID)9789463968096 (ISBN)
Conference
35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS, Sapporo, 19 Aug - 26 Aug 2023
Projects
Radio Occultation Accuracy for Climate, Meteorology, and Space Weather - Part 2
Funder
Swedish National Space Board
Available from: 2023-11-10 Created: 2023-11-10 Last updated: 2023-11-13Bibliographically approved
Vu, V. T., Ivanenko, Y., Batra, A., Pettersson, M. & Kaiser, T. (2023). Multiple Mobile Equipment Localization in Indoor Environment Based on Cell Sectoring. In: Industrial Networks and Intelligent Systems: 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings. Paper presented at 9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023, Ho Chi Minh City, 2 August through 3 August 2023 (pp. 119-131). Springer Science+Business Media B.V., 531
Open this publication in new window or tab >>Multiple Mobile Equipment Localization in Indoor Environment Based on Cell Sectoring
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2023 (English)In: Industrial Networks and Intelligent Systems: 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings, Springer Science+Business Media B.V., 2023, Vol. 531, p. 119-131Conference paper, Published paper (Refereed)
Abstract [en]

Precise mobile equipment localization in indoor environment is possible for mobile equipment with an integrated radar system. Deploying an omni-directional antenna at a base station allows localizing a single mobile unit at a time slot and a frequency resource block. With cell sectoring, an approach to cope with increasing capacity in a cell of a mobile network, helps to localize multiple mobile units at a time slot and a frequency resource block. Most importantly, cell sectoring helps to avoid localization ambiguity caused by the backprojection process. The paper presents the precise multiple mobile equipment localization approach in indoor environment based on cell sectoring. The simulation illustrates the benefit of the approach. The practicality of the approach is also addressed in the paper. © 2023, © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2023
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 531
Keywords
6G, FMCW radar, Localization, Cells, Continuous wave radar, Cytology, Indoor positioning systems, Mobile telecommunication systems, Omnidirectional antennas, Slot antennas, Frequency resources, Increasing capacities, Indoor environment, Localisation, Mobile equipments, Mobile units, Omni-directional antenna, Timeslots, Frequency modulation
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-25687 (URN)10.1007/978-3-031-47359-3_9 (DOI)2-s2.0-85176951193 (Scopus ID)9783031473586 (ISBN)
Conference
9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023, Ho Chi Minh City, 2 August through 3 August 2023
Available from: 2023-12-05 Created: 2023-12-05 Last updated: 2023-12-05Bibliographically approved
Vu, V. T., Ivanenko, Y. & Pettersson, M. (2023). Phase Error Calculation Caused by Start-Stop Approximation in Processing FMCW Radar Signals for SAR Imaging. IEEE Access, 11, 103669-103678
Open this publication in new window or tab >>Phase Error Calculation Caused by Start-Stop Approximation in Processing FMCW Radar Signals for SAR Imaging
2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 103669-103678Article in journal (Refereed) Published
Abstract [en]

The current synthetic-aperture-radar (SAR) image formation algorithms have been developed for the pulse radar systems, and they are desired to be used for frequency modulated continuous wave (FMCW) radar systems. Since there is a difference between the outputs of pulse radar and FMCW radar, it is necessary to adapt these algorithms to the output of the pulse radar. Beside this, the start-stop approximation, which can be used for signal processing of pulse radar systems, should be taken into account for FMCW radar systems due to the fact that the pulse duration of pulse radar is relatively small in comparison to the modulation time of FMCW radar. The study investigates the phase error caused by the start-stop approximation in processing the data measured by a FMCW radar system for synthetic aperture imaging. The important finding is that the start-stop approximation is valid for processing FMCW SAR data in many cases. If the following circumstances occur simultaneously, such as high radar signal frequency, long modulation time, high platform speed, and short propagation range, then the approximation may become invalid. The simulations and the experiments performed with a wideband 154 GHz FMCW radar support this statement. Author

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Apertures, backprojection, Error analysis, FMCW, Frequency modulation, phase error, Radar, Radar imaging, Radar measurements, Radar signal processing, ramp duration, Synthetic aperture radar, Approximation algorithms, Continuous wave radar, Data handling, Errors, Radar measurement, Aperture, Backprojections, Error calculations, Frequency modulated continous waves, Frequency-modulated-continuous-wave radars, Modulation time, Pulse radars, Radar signals
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-25479 (URN)10.1109/ACCESS.2023.3318009 (DOI)001081558300001 ()2-s2.0-85173030791 (Scopus ID)
Projects
Project Multistatic High-Resolution Sensing at THz
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications, A17The Crafoord Foundation, 20230898
Available from: 2023-10-18 Created: 2023-10-18 Last updated: 2023-11-08Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3945-8951

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