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Related papers: RCS-based Quasi-Deterministic Ray Tracing for Stat…

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In this work, we statistically analyze the radar cross section (RCS) of different test targets present in an indoor factory (InF) scenario specified by 3rd Generation Partnership Project considering bistatic configuration. The test targets…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Ali Waqar Azim , Ahmad Bazzi , Roberto Bomfin , Hitesh Poddar , Marwa Chafii

This letter presents a novel radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data. The method provides class information both on the radar target-…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Andras Palffy , Jiaao Dong , Julian F. P. Kooij , Dariu M. Gavrila

Millimeter wave (mmWave) communications which essentially employ directional antennas find applications spanning from indoor short range wireless personal area networks to outdoor cellular networks. A thorough understanding of mmWave signal…

Information Theory · Computer Science 2018-04-10 Rakesh R. T. , Debarati Sen , Goutam Das

High-precision wireless localization in urban canyons is challenged by noisy measurements and severe non-line-of-sight (NLOS) propagation. This paper proposes a robust three-stage algorithm synergizing a digital twin (DT) model with the…

Signal Processing · Electrical Eng. & Systems 2025-11-26 Ziqin Zhou , Hui Chen , Gerhard Steinböck , Henk Wymeersch

In this paper, the indoor dense space (IDS) channel at 28 GHz is characterized through extensive Ray-Tracing (RT) simulations. We consider IDS as a specific type of indoor environment with confined geometry and packed with humans, such as…

Information Theory · Computer Science 2022-02-18 Ozan Alp Topal , Mustafa Ozger , Dominic Schupke , Emil Björnson , Cicek Cavdar

Respondent-driven sampling (RDS) is a link-tracing sampling method that is especially suitable for sampling hidden populations. RDS combines an efficient snowball-type sampling scheme with inferential procedures that yield unbiased…

Methodology · Statistics 2016-03-15 Jens Malmros , Luis E. C. Rocha

We propose a method for deterministic sampling of arbitrary continuous angular density functions. With deterministic sampling, good estimation results can typically be achieved with much smaller numbers of samples compared to the commonly…

Systems and Control · Electrical Eng. & Systems 2025-04-03 Daniel Frisch , Uwe D. Hanebeck

The vibrational predissociation of the Ne2Br2(B) van der Waals complex has been investigated using the quasi-classical trajectory method (QCT), in the range of vibrational levels v' = 16-23. Extensive comparison is made with the most recent…

Rapidly-exploring Random Tree (RRT) algorithms have been applied successfully to challenging robot motion planning and under-actuated nonlinear control problems. However a fundamental limitation of the RRT approach is the slow convergence…

Robotics · Computer Science 2024-11-04 Mathew Mithra Noel , Akshay Chawla

Cone-beam CT (CBCT) employs a flat-panel detector to achieve three-dimensional imaging with high spatial resolution. However, CBCT is susceptible to scatter during data acquisition, which introduces CT value bias and reduced tissue contrast…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Xu Jiang , Huiying Pan , Ligen Shi , Jianing Sun , Wenfeng Xu , Xing Zhao

Prior works have analyzed the performance of millimeter wave automotive radars in the presence of diverse clutter and interference scenarios using stochastic geometry tools instead of more time-consuming measurement studies or system-level…

Information Theory · Computer Science 2023-12-12 Mohammad Taha Shah , Ankit Kumar , Gourab Ghatak , Shobha Sundar Ram

This paper targets the challenge of real-time LiDAR re-simulation in dynamic driving scenarios. Recent approaches utilize neural radiance fields combined with the physical modeling of LiDAR sensors to achieve high-fidelity re-simulation…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Chenxu Zhou , Lvchang Fu , Sida Peng , Yunzhi Yan , Zhanhua Zhang , Yong Chen , Jiazhi Xia , Xiaowei Zhou

Statistical channel models are instrumental to design and evaluate wireless communication systems. In the millimeter wave bands, such models become acutely challenging; they must capture the delay, directions, and path gains, for each link…

Signal Processing · Electrical Eng. & Systems 2020-12-18 William Xia , Sundeep Rangan , Marco Mezzavilla , Angel Lozano , Giovanni Geraci , Vasilii Semkin , Giuseppe Loianno

We consider random networks whose dynamics is described by a rate equation, with transition rates $w_{nm}$ that form a symmetric matrix. The long time evolution of the system is characterized by a diffusion coefficient $D$. In one dimension…

Statistical Mechanics · Physics 2012-12-04 Yaron de Leeuw , Doron Cohen

Radar detection and communication can be operated simultaneously in joint radar-communication (JRC) system. In this paper, we propose a bistatic JRC system which is applicable in multi-path environments. Basing on a novel joint waveform, a…

Signal Processing · Electrical Eng. & Systems 2020-07-01 Yuan Quan , Longfei Shi , Jialei Liu , Jiazhi Ma

Ray tracing accelerated with graphics processing units (GPUs) is an accurate and efficient simulation technique of wireless communication channels. In this paper, we extend a GPU-accelerated ray tracer (RT) to support the effects of…

Signal Processing · Electrical Eng. & Systems 2024-02-21 Sara Sandh , Hamed Radpour , Benjamin Rainer , Markus Hofer , Thomas Zemen

We present a measurement-based statistical model for the backscatter power ratio of monostatic RF sensing in urban canyons with moving clutter, suitable for large-scale system level performance evaluation of RF sensing in 6G networks. A…

The extension of quantum trajectory theory to incorporate realistic imperfections in the measurement of solid-state qubits is important for quantum computation, particularly for the purposes of state preparation and error-correction as well…

Mesoscale and Nanoscale Physics · Physics 2008-03-06 Neil P. Oxtoby , Jay Gambetta , H. M. Wiseman

In this paper, we develop a predictive beamforming scheme based on the dual-functional radar-communication (DFRC) technique, where the road-side units estimates the motion parameters of vehicles exploiting the echoes of the DFRC signals.…

Signal Processing · Electrical Eng. & Systems 2020-04-28 Weijie Yuan , Fan Liu , Christos Masouros , Jinhong Yuan , Derrick Wing Kwan Ng

Quantitative ultrasound (QUS) aims to find properties of scatterers which are related to the tissue microstructure. Among different QUS parameters, scatterer number density has been found to be a reliable biomarker for detecting different…

Signal Processing · Electrical Eng. & Systems 2023-02-28 Ali K. Z. Tehrani , Ivan M. Rosado-Mendez , Hayley Whitson , Hassan Rivaz