Searched for: author%3A%22Fioranelli%2C+F.%22
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Ahmad, Bashar I. (author), Rogers, Colin (author), Harman, Stephen (author), Dale, Holly (author), Jahangir, Mohammed (author), Antoniou, Michael (author), Baker, Chris (author), Newman, Mike (author), Fioranelli, F. (author)
Automatic target classification or recognition is a critical capability in noncooperative surveillance with radar in several defence and civilian applications. It is a well-established research field and numerous techniques exist for recognizing targets, including miniature unmanned air systems or drones (i.e., small, mini, micro, and nano...
journal article 2024
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Incoherent backscattering of mm-waves from natural rough surfaces is considered. A novel method is proposed to determine the statistical properties of surface scattering from range profile measurements. The method is based on modeling the road surface as a grid of uncorrelated scattering elements, described by normalized scattering matrices....
journal article 2024
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Guendel, R.G. (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
In this study, the problem of multipath in radar sensor networks for human activity recognition (HAR) has been examined. Traditionally considered as a source of additional clutter, the multipath is being investigated for its potential to be exploited through the creation of virtual radar nodes. These virtual nodes are conceptualized to...
journal article 2024
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Aubry, Augusto (author), Carotenuto, Vincenzo (author), Maio, Antonio De (author), Fioranelli, F. (author)
The design of bespoke adaptive detection schemes relying on the joint use of multistatic/polarimetric measurements requires a preliminary statistical inference on the clutter interference environment. This is of paramount importance to develop an analytic model for the received signal samples, which is mandatory for the synthesis of radar...
journal article 2024
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López Valcárcel, L.A. (author), Garcia Sanchez, Manuel (author), Fioranelli, F. (author), Krasnov, O.A. (author)
Mutual interference between automotive frequency-modulated continuous-wave (FMCW) radar systems has been a concern over recent years. Several interference mitigation (IM) techniques have been proposed to mitigate this phenomenon, which is deemed to grow in severity as more systems are deployed on the road. In this article, an inexpensive...
journal article 2024
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Vishwakarma, Shelly (author), Chetty, Kevin (author), Le Kernec, Julien (author), Chen, Qingchao (author), Adve, Raviraj (author), Gurbuz, Sevgi Zubeyde (author), Li, Wenda (author), Ram, Shobha Sundar (author), Fioranelli, F. (author)
contribution to periodical 2024
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Aubry, Augusto (author), Carotenuto, Vincenzo (author), De Maio, Antonio (author), Fioranelli, F. (author)
This article deals with the statistical inference of simultaneously recorded co- and cross-polarized bistatic coherent sea-clutter returns at S-band. This study is conducted employing appropriate statistical learning tools, involving the complex envelope of data, to assess the compliance of the available measurements with the spherically...
journal article 2023
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Ullmann, Ingrid (author), Guendel, Ronny (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Radar-based human motion and activity recognition is currently a topic of great research interest, as the aging population increases and older individuals prefer an independent lifestyle. This technology has a wide range of applications, such as fall detection in assisted living, gesture recognition for human-machine interfaces, and many more....
journal article 2023
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Zhu, S. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
The problem of instantaneous ego-motion estimation with mm-wave automotive radar is studied. DeepEgo, a deep learning-based method, is proposed for achieving robust and accurate ego-motion estimation. A hybrid approach that uses neural networks to extract complex features from input point clouds and applies weighted least squares (WLS) for...
journal article 2023
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A novel approach based on the entropy-alpha-anisotropy decomposition, also known as the $H\alpha A$ decomposition, for the recognition of road surface conditions using automotive radar is presented. To apply the $H\alpha A$ decomposition to automotive radar data, a dedicated signal processing pipeline has been developed. To investigate its...
journal article 2023
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Yuan, S. (author), Zhu, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The problem of estimating the 3D ego-motion velocity using multi-channel FMCW radar sensors has been studied. For the first time, the problem of ego-motion estimation is treated using radar raw signals. A robust algorithm using multi-channel FMCW radar sensors to instantly determine the complete 3D motion state of the ego-vehicle (i.e.,...
journal article 2023
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Data from a high angular resolution radar, i.e., a radar with a large antenna aperture, is used to train a deep neural network...
journal article 2023
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Ren, Liyuan (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
The problem of radar-based counting of multiple individuals moving as a single group is addressed using an mm-wave multiple-input-multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar. This problem is challenging because the different individuals are closer to each other than the range/azimuth resolution, and their bulk...
journal article 2023
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Yun, Joongsup (author), Anderson, David (author), Fioranelli, F. (author)
This paper presents a radar-based algorithm for autonomous estimation of drone intention. The algorithm is based on radar's kinematic measurements, providing fast and robust intention estimation for multiple targets. The core idea of the proposed algorithm is to build intention-specific features for each intention in advance and use them in...
journal article 2023
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Guo, Zhongyuan (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
Radar-based Human Activity Recognition(HAR) is considered by using snapshots of point clouds. Such point cloudsinterpret 2D images generated by an mm-wave FMCW MIMO radar enriched byincluding Doppler and temporal information. We use the similarity between suchradar data representation and the core of the self-attention concept inartificial...
conference paper 2023
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Onat, N.B. (author), Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author), Aslan, Y. (author)
Efficient prediction of embedded element patterns (EEPs) is including the mutual coupling (MC) effects in the optimization of irregular planar arrays is studied for the first time in the literature. An ANN-based methodology is used to predict the pattern of each element in the whole visible space for a flexible planar array topology in...
conference paper 2023
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Haifawi, Hani (author), Fioranelli, F. (author), Yarovoy, Alexander (author), van der Meer, Rob (author)
A new method to jointly detect and classify drones using a moving surveillance radar system (‘radar on-the-move’) and computer vision is presented. While most conventional counter-drone radar-based techniques focus on time-frequency distributions to obtain classification features, such approaches are limited in volumetric spatial coverage. To...
conference paper 2023
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Roldan Montero, I. (author), Lamberti, Lucas (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The problem of single-snapshot direction of arrival (DoA) estimation with antenna arrays has been considered. A sectorized approach based on Bayesian Compressive Sensing (BCS) has been proposed. In this method, the angular space is discretized, defining many non-overlapping small grids which cover the desired large angular space. First, a BCS...
conference paper 2023
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The problem of high-resolution direction-of-arrival (DOA) estimation based on a limited amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been studied. The number of snapshots is restricted to minimize target spread/migration in range and/or Doppler domains. A computationally efficient approach for side-looking...
journal article 2023
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Carotenuto, V. (author), Aubry, A. (author), De Maio, A. (author), Fioranelli, F. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author), van der Zwan, W.F. (author)
This paper investigates the possibility of transmitting waveforms designed to enable spectral coexistence between radar and other Radio Frequency (RF) wireless systems via a Software Defined Radar (SDR). The design technique tested in this study nominally enables the placement of notches in the spectrum of the synthesized probing radar signal...
conference paper 2023
Searched for: author%3A%22Fioranelli%2C+F.%22
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