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Fabrice Comblet - IEEE Xplore Author Profile
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Fabrice Comblet

Also published under: F. Comblet

Publications
39
Citations
185
Publications by Year
20052024
Co-Authors:
Show All Co-Authors (50)
Image of author Fabrice Comblet

Fabrice Comblet

Also published under: F. Comblet

Affiliation

Lab-STICC CNRS UMR 6285, ENSTA Bretagne, France

Publication Topics

Biography

Fabrice Comblet was born in 1979 in France. He received the master degree in automatic and industrial computer from the Universite Scientifique et Technologique de Lille, France, and the Ph.D. degree from the Universite de Bretagne Occidentale, Brest, France, in 2002 and 2005, respectively.,Since 2002, he has been with the E3I2 Laboratory (EA3876)-ENSIETA, Brest, working on bistatic SAR.(Based on document published on 13 November 2006).
Publications
39
Citations
185
Publications by Year
20052024
Co-Authors:
Show All Co-Authors (50)
Author's Published Works

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Range Cell Migration Processing Loss in Automotive Radar

Adrien Grivey;Kevin Cinglant;Fabrice Comblet;Ali Khenchaf

2024 21st European Radar Conference (EuRAD)
Year: 2024 | Conference Paper |
Frequency Modulated Continuous Wave (FMCW) automotive radar using stretch-processing usually relies on a fast-chirp signal model which assumes range and Doppler decoupling between fast and slow-time dimensions. To achieve high range and speed resolutions, a large bandwidth and a long coherent processing interval are used. However, if multiple range resolution cells are crossed during the integrati...Show More

Range Cell Migration Processing Loss in Automotive Radar

Adrien Grivey;Kevin Cinglant;Fabrice Comblet;Ali Khenchaf

Year: 2024 | Conference Paper |

Three-Dimensional Printing of Honeycomb Microwave Absorbers: Feasibility and Innovative Multiscale Topologies

Vincent Laur;Azar Maalouf;Alexis Chevalier;Fabrice Comblet

IEEE Transactions on Electromagnetic Compatibility
Year: 2021 | Volume: 63, Issue: 2 | Journal Article |
Cited by: Papers (23)
In this article, we propose to apply 3-D printing technology to the design and realization of honeycomb microwave absorbers. First, printability of simple honeycomb structures, made of a lossy dielectric material, was evaluated and validated by measurement in the 2-18 GHz frequency band. Effective dielectric properties of honeycomb structures with different dimensions are also discussed. Then, the...Show More

Three-Dimensional Printing of Honeycomb Microwave Absorbers: Feasibility and Innovative Multiscale Topologies

Vincent Laur;Azar Maalouf;Alexis Chevalier;Fabrice Comblet

Year: 2021 | Volume: 63, Issue: 2 | Journal Article |

Filter De-Noising Method Using Long Short-Term Memory

Tan Truong Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

2020 European Navigation Conference (ENC)
Year: 2020 | Conference Paper |
GNSS brings more signals and more satellites to improve positioning services. This paper introduces data fusion from multiple Global Navigation Satellite System (GNSS) constellations. In fact, some failures in satellite's signals negatively impact the quality of positioning. For this purpose, this paper presents the robust Extended Kalman Filter (robust-EKF) to eliminate the outliers and de-noisin...Show More

Filter De-Noising Method Using Long Short-Term Memory

Tan Truong Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

Year: 2020 | Conference Paper |

Detection of Linear Frequency Modulation, Phase-Coded and Multicarrier Radar Waveforms in Electronic Warfare Context

Antoine FOUCAULT;Cédric CORNU;Ali KHENCHAF;Fabrice COMBLET

2020 Sensor Signal Processing for Defence Conference (SSPD)
Year: 2020 | Conference Paper |
Interception of radar signals is analyzed. The waveforms of interest are the Linear Frequency Modulation (LFM), the Phase-Coded (PC) and multicarrier (MC) waveforms. The problematic is to perform detection with real-time requirement and the possibility to integrate on the longest pulse width (LFM). The well-known ambiguity function is proposed as quadratic time-frequency detector which is able to ...Show More

Detection of Linear Frequency Modulation, Phase-Coded and Multicarrier Radar Waveforms in Electronic Warfare Context

Antoine FOUCAULT;Cédric CORNU;Ali KHENCHAF;Fabrice COMBLET

Year: 2020 | Conference Paper |

Robust GPS/Galileo/GLONASS Data Fusion Using Extended Kalman Filter

Tan Truong-Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
Year: 2020 | Conference Paper |
This paper presents data fusion from multiple Global Navigation Satellite System (GNSS) constellations. GNSS brings more signals and more satellites to improve the accuracy of user's position. However, multiple failures in satellite's signals sometimes negatively impact the determination of the user's position and should be considered. For this purpose, the present paper provides robust Extended K...Show More

Robust GPS/Galileo/GLONASS Data Fusion Using Extended Kalman Filter

Tan Truong-Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

Year: 2020 | Conference Paper |

The Wigner-Ville distribution and quadratic detector performances for FMCW pulse detection in Electronic Warfare context

Antoine FOUCAULT;Cédric CORNU;Vincent GUARDIA;Fabrice COMBLET;Ali KHENCHAF

2019 International Radar Conference (RADAR)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
The paper deals with detection problematic with Electronic Warfare (EW) emphasis. In a radar context, the knowledge of the signal characteristics allows the use of matched filter to improve Signal to Noise Ratio and detect target. In an EW context, a receiver should detect an unknown radar signal and estimate its parameters. For pulse duration inferior or equal to several microseconds, architectur...Show More

The Wigner-Ville distribution and quadratic detector performances for FMCW pulse detection in Electronic Warfare context

Antoine FOUCAULT;Cédric CORNU;Vincent GUARDIA;Fabrice COMBLET;Ali KHENCHAF

Year: 2019 | Conference Paper |

Particle Filter Track-Before-Detect for Target Detection and Tracking from Marine Radar Data

Zaynab Guerraou;Ali Khenchaf;Fabrice Comblet;Marc Leouffre;Olivier Lacrouts

2019 IEEE Conference on Antenna Measurements & Applications (CAMA)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
Track-before-detect (TBD) algorithms make use of unthresholded measurements to perform target detection and tracking in scenarios where conventional approaches fail, as it is the case for low signal-to-noise ratio (SNR) conditions. In this paper, the track-before-detect algorithm using particle filters is applied for target detection and tracking and its performance using real-world radar data is ...Show More

Particle Filter Track-Before-Detect for Target Detection and Tracking from Marine Radar Data

Zaynab Guerraou;Ali Khenchaf;Fabrice Comblet;Marc Leouffre;Olivier Lacrouts

Year: 2019 | Conference Paper |

GPS/GLONASS Data Fusion and Outlier Elimination to Improve the Position Accuracy of Receiver

Tan Truong Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

2019 IEEE Conference on Antenna Measurements & Applications (CAMA)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
To improve the accuracy of receiver's positios, Global Navigation Satellite System (GNSS) brings more signals and more satellites. This paper presents data fusion from multiple satellite constellations. Indeed, multiple satellite failures impact the determination of the user position and should be considered. For this purpose, the present paper provides a robust estimation to detect and exclude mu...Show More

GPS/GLONASS Data Fusion and Outlier Elimination to Improve the Position Accuracy of Receiver

Tan Truong Ngoc;Ali Khenchaf;Fabrice Comblet;Pierre Franck;Jean-Marc Champeyroux;Olivier Reichert

Year: 2019 | Conference Paper |

Evaluating Process and Measurement Noise in Extended Kalman Filter for GNSS Position Accuracy

Tan TRUONG NGOC;Ali KHENCHAF;Fabrice COMBLET

2019 13th European Conference on Antennas and Propagation (EuCAP)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Extended Kalman filter (EKF) is widely used in the dynamic systems under the assumption that the process and measurement noises are Gaussian distributed. It is well known that the covariance matrixes of process noise and measurement noise have a significant impact on the EKF's performance. To evaluate its impact on the estimation of user position, this paper proposes two models. The first model de...Show More

Evaluating Process and Measurement Noise in Extended Kalman Filter for GNSS Position Accuracy

Tan TRUONG NGOC;Ali KHENCHAF;Fabrice COMBLET

Year: 2019 | Conference Paper |

Estimating Ambiguity and Using Model Weight To Improve the Positioning Accuracy of a Stand-alone Receiver

Tan TRUONG NGOC;Ali KHENCHAF;Fabrice COMBLET

2019 13th European Conference on Antennas and Propagation (EuCAP)
Year: 2019 | Conference Paper |
Basic positioning methods in GNSS receivers are based on code and carrier phase measurements. In this paper, the carrier phase measurements are considered. They are highly accurate, but limited with integer ambiguity, which is very important. This paper proposes an algorithm to resolve this problem. In addition, it shows the main factors that affect the accuracy of user position. To reduce the use...Show More

Estimating Ambiguity and Using Model Weight To Improve the Positioning Accuracy of a Stand-alone Receiver

Tan TRUONG NGOC;Ali KHENCHAF;Fabrice COMBLET

Year: 2019 | Conference Paper |

Assessment of Wind Speed Estimation From C-Band Sentinel-1 Images Using Empirical and Electromagnetic Models

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

IEEE Transactions on Geoscience and Remote Sensing
Year: 2018 | Volume: 56, Issue: 7 | Journal Article |
Cited by: Papers (15)
Surface wind speed estimation from synthetic aperture radar (SAR) data is principally based on empirical (EP) approaches, e.g., CMOD functions. However, it is necessary and significant to compare radar backscattering modeling based on EP and electromagnetic (EM) approaches for enhancing the understanding of the physical processes between radar signal and sea surface, which is important for the des...Show More

Assessment of Wind Speed Estimation From C-Band Sentinel-1 Images Using Empirical and Electromagnetic Models

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2018 | Volume: 56, Issue: 7 | Journal Article |

Pirical approach for C-band VV-polarization wind vector retrieval from Sentinel-1 images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2017 | Conference Paper |
Based on an empirical model without wind direction input for the retrieval of C-band HH-polarization wind speed, we propose a modified model for wind speed estimation in VV-polarization. The obtained wind speed is then applied for the CMOD5.N to estimate wind directions. The comparisons with the scatterometry-based approach demonstrate that the estimated wind speed by the proposed model is closer ...Show More

Pirical approach for C-band VV-polarization wind vector retrieval from Sentinel-1 images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2017 | Conference Paper |

Comparison of empirical and electromagnetic geophysical model function for near-surface wind speed retrieval

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2017 | Conference Paper |
Despite based on different approaches and objectives, it is reasonable to compare near-surface wind speed estimated by the empirical (EP) and electromagnetic (EP) geophysical model function (GMF), since both of them describe the relation between radar scattering and wind vector (directly for EP GMF and via surface roughness spectrum for EM GMF). In general, the EP and EM models give quite similar ...Show More

Comparison of empirical and electromagnetic geophysical model function for near-surface wind speed retrieval

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2017 | Conference Paper |

Application of electromagnetic models for sea near-surface wind speed retrieval from C-band SAR images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
Year: 2017 | Conference Paper |
Synthetic Aperture Radar (SAR) is one of the favorite sources for sea near-surface wind speed retrieval. For this problem, wind speed is principally estimated based on the empirical (EP) models, namely CMOD functions, which are constructed by the observations from spaceborne microwave scatterometers (ERS-1/2). Little studies have mentioned the use of electromagnetic (EM) models for wind speed esti...Show More

Application of electromagnetic models for sea near-surface wind speed retrieval from C-band SAR images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2017 | Conference Paper |

Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
In spite of the difference in description, it is reasonable to compare sea surface wind speed estimates based on empirical (EP) and electromagnetic (EM) approaches, since both of them describe the relation between radar backscattering and wind parameters, directly for EP models and via sea surface roughness spectrum for EM models. For EP approach, two methods are presented for wind speed estimatio...Show More

Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2017 | Conference Paper |

Exploitation of C-Band Sentinel-1 Images for High-Resolution Wind Field Retrieval in Coastal Zones (Iroise Coast, France)

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2017 | Volume: 10, Issue: 12 | Journal Article |
Cited by: Papers (25)
Synthetic aperture radar (SAR) is one of the favorite tools for earth observation applications, i.e., oceanography, land use mapping, climate change since this device can offer the data at a high spatial resolution and in most meteorological conditions. This is more significant when the data acquired by the Sentinel-1, a new C-band satellite, are exploited. For high-resolution wind field extractio...Show More

Exploitation of C-Band Sentinel-1 Images for High-Resolution Wind Field Retrieval in Coastal Zones (Iroise Coast, France)

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2017 | Volume: 10, Issue: 12 | Journal Article |

Interlaboratory comparisons of radar cross section measurements by the “GTi”, criteria suggestions

J C Castelli;F. Comblet;F. Daout;C. Eyraud;S. Fargeot;R. Guillerey;J-M Geffrin;S. Leman;P. Massaloux;G. Mazé-Merceur;G-P Piau

2017 11th European Conference on Antennas and Propagation (EUCAP)
Year: 2017 | Conference Paper |
A comparison of Radar Cross Section (RCS) measurement results between several French measurement indoor facilities has been organized in the framework of a French Working Group (Groupe de Travail sur les incertitudes en chambre anéchoïque: GTi), dealing with measurement uncertainties in anechoic chamber. The GTi involves 22 laboratories that are either industrial or academic research ones, or labo...Show More

Interlaboratory comparisons of radar cross section measurements by the “GTi”, criteria suggestions

J C Castelli;F. Comblet;F. Daout;C. Eyraud;S. Fargeot;R. Guillerey;J-M Geffrin;S. Leman;P. Massaloux;G. Mazé-Merceur;G-P Piau

Year: 2017 | Conference Paper |

Study of geophysical model functions for inverse problem of sea surface scattering

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum;Helmi Ghanmi

2017 11th European Conference on Antennas and Propagation (EUCAP)
Year: 2017 | Conference Paper |
In addition to image processing and neural network, inverting the Geophysical Model Functions (GMFs) is one of the most widely used ways to retrieve oceanic parameters, i.e. surface wind speed, temperature, salinity, etc., from Synthetic Aperture Radar (SAR) data. More exact the description of the GMFs is, more accurately the results are obtained. For this problem, one can find two principal appro...Show More

Study of geophysical model functions for inverse problem of sea surface scattering

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum;Helmi Ghanmi

Year: 2017 | Conference Paper |

Sensitivity of sea wind direction retrieval from Sentinel-1 data with regard to spatial resolution and speckle noise

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Wind direction is a crucial parameter in many inversion models to estimate wind speed from Synthetic Aperture Radar (SAR) data. Compared to the other available wind sources, i.e. measured data, numeric weather data, etc., the retrieval of wind directions from SAR data is more widely used, since it can give wind directions at different scales. Nevertheless, there are not a lot of studies which repo...Show More

Sensitivity of sea wind direction retrieval from Sentinel-1 data with regard to spatial resolution and speckle noise

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Comparison of inversion models of wind speed retrieval from C-band Sentinel-1 and X-band TerraSAR-X data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2016 | Conference Paper |
Retrieval of sea surface wind speed from Synthetic Aperture Radar (SAR) data is one of the most widely used methods, since it can give higher resolutions than the other available surface wind sources. For this approach, two principal methods can be found: one is based on electromagnetic (EM) models and the other is based on empirical (EP) ones. In both indicated ways, the Geophysical Model Functio...Show More

Comparison of inversion models of wind speed retrieval from C-band Sentinel-1 and X-band TerraSAR-X data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Assessment of inversion models for sea surface wind speed retrieval from Sentinel-1 data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Among the different available wind sources, i.e. in situ measurements, numeric weather models, the retrieval of wind speed from Synthetic Aperture Radar (SAR) data is one of the most widely used methods, since it can give high wind resolution cell. For this purpose, one can find two principal methods: via electromagnetic (EM) models and empirical (EP) ones. In both approaches, the Geophysical Mode...Show More

Assessment of inversion models for sea surface wind speed retrieval from Sentinel-1 data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Study of sensitivity in wind direction retrieval from Sentinel-1 images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Retrieval of sea wind vector from Synthetic Aperture Radar (SAR) data is one of the most widely used methods, since it can give high wind resolution cell. For this approach, wind direction is normally the first retrieved parameter, since it plays a crucial role in many inversion models (CMOD, XMOD) to estimate wind speed. In spite of the huge studies of wind field retrieval, little has been report...Show More

Study of sensitivity in wind direction retrieval from Sentinel-1 images

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Study of inversion EM models for wind speed retrieval from Sentinel-1 data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 IEEE Radar Conference (RadarConf)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Sea surface wind speed plays a key parameter in the studies of many oceanic applications, i.e. meteorological forecasting, oil slick observation, ship detection, and wind turbine installation recently. It can be obtained from many available wind sources, i.e. measured data, numeric weather models, etc. However, one of the most well-known ways is the retrieval of wind speed from Synthetic Aperture ...Show More

Study of inversion EM models for wind speed retrieval from Sentinel-1 data

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Study of wind speed retrievals from Sentinel-1 images using physical models

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

2016 10th European Conference on Antennas and Propagation (EuCAP)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Sea surface wind plays an important role for many applications such as meteorological forecasting, oil slick observation and ship detection. From the Sentinel-1 SAR images, we propose in this paper the methods which permit to retrieve rapidly wind fields. Wind directions can be directly extracted from the SAR images by the Local Gradient method with high resolution. Wind speed is estimated by the ...Show More

Study of wind speed retrievals from Sentinel-1 images using physical models

Tran Vu La;Ali Khenchaf;Fabrice Comblet;Carole Nahum

Year: 2016 | Conference Paper |

Numerical simulation of bistatic electromagnetic scattering by contaminated sea surface

Helmi Ghanmi;Ali Khenchaf;Fabrice Comblet

2014 International Radar Conference
Year: 2014 | Conference Paper |
Cited by: Papers (2)
The aim of this paper is to study the influence of the pollutants (oil spills) on the electromagnetic signature of sea surface observed in bistatic configuration. Therefore, we will start the numerical analyses of the pollutants influence on the sea surface roughness. Then, we will evaluate the electromagnetic scattering coefficients of the contaminated sea surface (sea surface covered by oil laye...Show More

Numerical simulation of bistatic electromagnetic scattering by contaminated sea surface

Helmi Ghanmi;Ali Khenchaf;Fabrice Comblet

Year: 2014 | Conference Paper |

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