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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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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
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Fioranelli, F. (author), Guendel, Ronny (author), Kruse, N.C. (author), Yarovoy, Alexander (author)Driven by its contactless sensing capabilities and the lack of optical images being recorded, radar technology has been recently investigated in the context of human healthcare. This includes a broad range of applications, such as human activity classification, fall detection, gait and mobility analysis, and monitoring of vital signs such as...conference paper 2023
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Assabumrungrat, Rawin (author), Kumchaiseemak, N. (author), Wang, J. (author), Wang, D. (author), Punpeng, Phoom (author), Fioranelli, F. (author), Wilaiprasitporn, Theerawit (author)We present a deep learning-based approach called DipSAR for reconstructing millimeter-wave synthetic aperture radar (SAR) images from sparse samples. The primary challenge lies in the requirement of a large training dataset for deep learning schemes. To overcome this issue, we employ the deep image prior (DIP) technique, which eliminates the...conference paper 2023
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Carotenuto, V. (author), Aubry, A. (author), De Maio, A. (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 fundamental to develop an analytic model for the received signal samples, which is used to synthesize the radar detector. In this...conference paper 2023
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Wang, Weizheng (author), Vaidya, G. (author), Bhattacharjee, A.K. (author), Fioranelli, F. (author), Zuniga, Marco (author)Sensing people with mmWave radars is gaining significant attention. This growing interest is due to two factors: radar monitoring provides more privacy than camera-based alternatives, and radio waves are not as easily blocked as light waves. Most mmWave studies, however, have three common characteristics. They are done indoors, without...conference paper 2023
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Guendel, Ronny (author), Ullmann, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Radar-based human activity recognition in crowded environments using regression approaches is addressed. Whereas previous research has focused on single activities and subjects, the problem of continuous activity recognition involving up to five individuals moving in arbitrary directions in an indoor area is introduced. To treat the problem, a...conference paper 2023
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Zhu, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of 2D instantaneous ego-motion estimation for vehicles equipped with automotive radars is studied. To leverage multi-dimensional radar point clouds and exploit point features automatically, without human engineering, a novel approach is proposed that transforms ego-motion estimation into a weighted least squares (wLSQ) problem using...conference paper 2023
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Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Due to numerous benefits, radar is considered as an important sensor for human activity classification. The problem of classifying continuous sequences of activities of unconstrained duration has been studied in this work. To tackle this challenge, a radar data processing method utilizing point transformer networks has been proposed. The method...conference paper 2023
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The convergence of polarimetric scattering parameters and H, α and A features of road surfaces under various conditions is analysed. It is shown that the number of radar measurements used for surface classification can be traded off with accuracy of the estimation of the mean value and covariance of S-parameters and H, α and A features....conference paper 2023
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The ambiguity problem in forward-looking Doppler beam sharpening is considered. Doppler beam sharpening (DBS) has shown its potential to improve cross-range resolution for automotive radar applications. However, it suffers from ambiguities when targets are positioned symmetrically with respect to the vehicle trajectory. A new approach named ...conference paper 2023
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A method for extracting fully polarimetric statistical properties of road surface radar cross sections is presented. This method is subsequently applied to extract radar cross section information from an asphalt road surface. Furthermore, an approach is introduced to synthesise the scattered signal of road surface returns as measured by a radar....conference paper 2023
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Guendel, Ronny (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Recognition of continuous human activities is investigated in unconstrained movement directions using multiple spatially distributed radar nodes, where activities can occur at unfavourable aspect angles or occluded perspectives when using a single node. Furthermore, such networks are favourable not only for the aforementioned aim, but also for...conference paper 2022
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Sethuraman, H. Visvanathan (author), Yarovoy, Alexander (author), Fioranelli, F. (author)The ability of a fully polarimetric radar to discriminate between payloads carried by UAVs is demonstrated. A novel approach has been employed in the feature extraction algorithm, where features from individual and combined polarimetric channels are extracted for classification. Decision and ensemble fusions on the respective extracted features...conference paper 2022
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Han, Y. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)This research aims to develop a contactless, radar-based sleep apnea detection method. A novel identification approach for this is proposed, based on the envelope of UWB radar spectrograms and machine learning. The envelope of the spectrogram is extracted by an image-based method, followed by signal smoothing via variational mode decomposition ...conference paper 2022
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Yang, Kai (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)Radar is now widely used in human activity classification because of its contactless sensing capabilities, robustness to light conditions and privacy preservation compared to plain optical images. It has great value in elderly care, monitoring accidental falls and abnormal behaviours. Monostatic radar suffers from degradation in performance...conference paper 2022
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Zhang, Xinyu (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)Population ageing has become a severe problem worldwide. Human activity recognition (HAR) can play an important role to provide the elders with in-time healthcare. With the advantages of environmental insensitivity, contactless sensing and privacy protection, radar has been widely used for human activity detection. The micro-Doppler...conference paper 2022