Radar networks: A review of features and challenges [PDF]
Information Fusion, 2020 To appear soon in Information ...
Alfonso Farina +2 more
openaire +4 more sources
LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She +3 more
doaj +1 more source
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
, 2018 Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army.
Guo, Tiantong +3 more
core +1 more source
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication [PDF]
arXiv, 2022 Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead, specially relevant in vehicular systems, where the channels are highly dynamic.
arxiv
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning [PDF]
, 2020 Nowadays, mutual interference among automotive radars has become a problem of wide concern. In this paper, a decentralized spectrum allocation approach is presented to avoid mutual interference among automotive radars. Although decentralized spectrum allocation has been extensively studied in cognitive radio sensor networks, two challenges are observed
arxiv +1 more source
Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]
, 2018 In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi +3 more
core +1 more source
Molecular Oncology, EarlyView.Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker +14 more
wiley +1 more source
Weather Radar Image Superresolution Using a Nonlocal Residual Network
Journal of Mathematics, 2021 Accurate and high-resolution weather radar images reflecting detailed structure information of radar echo are vital for analysis and forecast of extreme weather.
Haoxuan Yuan, Qiangyu Zeng, Jianxin He
doaj +1 more source
Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry
Frontiers in Signal Processing, 2022 Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert military communications, and satellite based remote sensing.
Shobha Sundar Ram +2 more
doaj +1 more source
Taming and Leveraging Interference in Mobile Radar Networks [PDF]
arXiv, 2020 Mobile radar networks, such as autonomous driving systems, are subject to the severe challenge of mutual interference. Despite the inborn interference-proof capability in frequency modulation continuous waveform (FMCW) radar, interference management is necessary for dense radar networks.
arxiv