On Entanglement-Assisted Multistatic Radar Techniques [PDF]
Entropy, 2022 Entanglement-based quantum sensors have much better sensitivity than corresponding classical sensors in a noisy and lossy regime. In our recent paper, we showed that the entanglement-assisted (EA) joint monostatic–bistatic quantum radar performs much ...
Ivan B. Djordjevic
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An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network. [PDF]
IEEE J Biomed Health Inform, 2023 Indoor fall monitoring is challenging for community-dwelling older adults due to the need for high accuracy and privacy concerns. Doppler radar is promising, given its low-cost and contactless sensing mechanism.
Shen M +4 more
europepmc +2 more sources
Sidelobe Suppression Techniques for Near-Field Multistatic SAR [PDF]
Sensors, 2023 Multirotor Unmanned Air Systems (UAS) represent a significant improvement in capability for Synthetic Aperture Radar (SAR) imaging when compared to traditional, fixed-wing, platforms.
George A. J. Price +3 more
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Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks [PDF]
IEEE Geoscience and Remote Sensing Letters, 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.
Zhaoxi Chen +2 more
exaly +3 more sources
Multistatic Integrated Sensing and Communication System Based on Macro–Micro Cooperation [PDF]
SensorsA novel multistatic integrated sensing and communication (ISAC) system based on macro–micro cooperation for the sixth-generation (6G) mobile network is proposed.
Xiaoyun Wang +10 more
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Classification of Unarmed/Armed Personnel Using the NetRAD Multistatic Radar for Micro-Doppler and Singular Value Decomposition Features [PDF]
IEEE Geoscience and Remote Sensing Letters, 2015 In this letter, we present the use of experimental human micro-Doppler signature data gathered by a multistatic radar system to discriminate between unarmed and potentially armed personnel walking along different trajectories.
Francesco Fioranelli +2 more
exaly +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 In recent years, the research of multistatic synthetic aperture radar (SAR) has become a hot spot because of its great potentials in military and civil applications. However, it is inevitably disturbed by electronic countermeasures.
Wenjing310 Wang, Junjie Wu, Jifang Pei
exaly +3 more sources
Receiver Location Optimization for Heterogeneous S-Band Marine Transmitters in Passive Multistatic Radar Networks via NSGA-II [PDF]
SensorsComprehensive maritime domain awareness is crucial for navigation safety, traffic management, and security surveillance. In the context of an increasingly complex modern electromagnetic environment, the disadvantages of traditional active single-station ...
Xinpeng Li +3 more
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Multistatic human micro‐Doppler classification of armed/unarmed personnel [PDF]
IET Radar, Sonar and Navigation, 2015 Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Francesco Fioranelli +2 more
exaly +4 more sources
A Centralized Processing Framework for Foliage Penetration Human Tracking in Multistatic Radar [PDF]
Radioengineering, 2016 A complete centralized processing framework is proposed for human tracking using multistatic radar in the foliage-penetration environment. The configuration of the multistatic radar system is described.
J. Zhang, T. Jin, Y. He, Z. M. Zhou
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