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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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Petrov, N. (author), Yarovoy, Alexander (author)
A novel receiver structure for the reception of linearly frequency modulated (LFM) chirps carrying additional narrowband (phase) modulation is proposed. A linear relation between the time delay and the beat frequency shift of the target response in stretch processing is exploited to estimate the target range via correlation of the received...
journal article 2022
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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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Zhu, S. (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
Unconstrained human activities recognition with a radar network is considered. A hybrid classifier combining both convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for spatial–temporal pattern extraction is proposed. The 2-D CNNs (2D-CNNs) are first applied to the radar data to perform spatial feature extraction on the...
journal article 2022
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated in this paper using a network of five spatially distributed pulsed Ultra-Wideband radars. While activities performed continuously and in unconstrained trajectories provide a more realistic and natural scenario for HAR, the network of radar sensors is proposed...
journal article 2022
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Bosma, Detmer (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)
Polarimetric radar responses from moving automotive targets are studied aiming at target classification using the polarimetric H/A/α-decomposition technique. A signal- and data processing chain has been proposed for the detection and tracking of targets in a multi-target environment in the range-Doppler domain. Polarimetric information of the...
conference paper 2022
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated using 5 spatially distributed pulsed Ultra-Wideband (UWB) radars. Such activities performed in arbitrary and unconstrained trajectories render a more natural occurrence of Activities of Daily Living (ADL) to be recognized. An innovative signal level fusion method...
conference paper 2022
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Svenningsson, P.O. (author), Kruse, N.C. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Cognitive radar frameworks rely on the ability to quantify and reason on future uncertainty, which allows for the selection of an optimal decision policy. These methods require that the uncertainty estimates provided by the underlying statistical model are well-calibrated, i.e. consistent with true uncertainty. In this work, the utilization of...
conference paper 2022
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Dash, T.K. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)
The performance and limitations of the Doppler processing of the scattered signals from extended meteorological objects (precipitation) are analysed in the case of radar with fast azimuthal scanning. The classical method of the Discrete Fourier Transform (DFT) has been applied to simulated weather radar signals to estimate the Doppler velocity...
conference paper 2022
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Gong, Huaiyang (author), Petrov, N. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)
This paper presents algorithms for joint signal processing of data from two radars located on the rooftop of TU Delft: PARSAX, operating in S-band, and MESEWI, operating in X-band [1]. In particular, the problem of data alignment in space (2D map) and time is addressed by observing moving targets of opportunity in the high-resolution mode. After...
conference paper 2022
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Poor angular resolution is one of the main disadvantages of automotive radars, and the reason why lidar technology is widely used in the automotive industry. For a fixed frequency, the angular resolution of a conventional Multiple-Input Multiple-Output (MIMO) radar is limited by the number of physical antennas, and therefore improve the...
conference paper 2022
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Heller, Martijn (author), Petrov, N. (author), Yarovoy, Alexander (author)
A modification of the scan-matching technique known as the Normal Distributions Transform to be applicable to radar data is presented. The proposed modification uses the measurements of received signal power to account for possible radar cross-section (RCS) fluctuation of the scene, which is prone to cause missed detections, undesirable in scan...
conference paper 2022
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Petrov, N. (author), Yarovoy, Alexander (author)
The calibration of a collocated MIMO radar is addressed by means of independent calibration of transmit and receive arrays. The solutions for both arrays' elements gain and phase terms only and the full coupling matrix estimation are presented. The proposed solution significantly improves over the conventional calibration of the virtual array...
conference paper 2022
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Petrov, N. (author), Yarovoy, Alexander (author)
This paper presents a new method of automotive MIMO radar self-calibration which uses targets of opportunity embedded in road infrastructure, such as road signs and traffic lights. While conventional offline calibration of a phased array antenna requires accurate knowledge of the positions of calibration targets relative to the radar, such...
conference paper 2022
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A method exploiting the movement of the vehicle to boost the cross-range resolution of automotive radar by forming a larger virtual array is proposed. Initial simulated results show that the proposed method with the traditional Digital beamforming (DBF) algorithm can separate targets that cannot be otherwise recognized by the traditional MIMO...
conference paper 2022
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Rol, M.P. (author), Nijboer, Ronald (author), Yarovoy, Alexander (author)
Electromagnetic (EM) waves propagate through the atmosphere where they are refracted depending on the composition of the atmosphere. This refraction highly influences the propagation of the EM-waves. Certain atmospheric conditions can cause EM-waves to get trapped within a duct. In these ducts blind zones may occur, where there is no EM-wave...
conference paper 2022
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Correas Serrano, A. (author), Petrov, N. (author), Gonzalez-Huici, Maria (author), Yarovoy, Alexander (author)
A generic description for common multi-carrier radar receivers is proposed. Two multi-carrier waveforms - orthogonal frequency division multiplexing (OFDM) and orthogonal time-frequency spacing (OTFS) - which could be used for joint radar and communication (JRC) applications - are considered. Sensing performances of different waveform...
conference paper 2022
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Kumbul, U. (author), Petrov, N. (author), Vaucher, Cicero S. (author), Yarovoy, Alexander (author)
The sensing properties of the binary phase codes are investigated with their application to phase-coded (linearly) frequency modulated continuous waveform (PC-FMCW). It is shown that the ambiguity function of FMCW signal modulated with a binary phase code corresponds to sheared ambiguity function of the code itself. The range profiles of PC...
conference paper 2022
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A direction-finding approach for arrays with a limited number of antenna elements has been investigated. A method based on the harmonic analysis of the received signal has been proposed to solve it. The angle estimation accuracy has been improved by angle searching and peak detection. The proposed method is theoretically described and...
conference paper 2022
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