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Artículos de revistas sobre el tema "Dual-Functional Radar Communication"

Autor: Grafiati
Publicado: 25 de mayo de 2024

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1

Liu, Fan, Longfei Zhou, Christos Masouros, Ang Li, Wu Luo, and Athina Petropulu. "Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design." IEEE Transactions on Signal Processing 66, no. 16 (2018): 4264–79. http://dx.doi.org/10.1109/tsp.2018.2847648.

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2

Zhang, Zhibo, Qing Chang, Fan Liu, and Shengzhi Yang. "Dual-Functional Radar-Communication Waveform Design: Interference Reduction Versus Exploitation." IEEE Communications Letters 26, no. 1 (2022): 148–52. http://dx.doi.org/10.1109/lcomm.2021.3122980.

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3

Valiulahi, Iman, Christos Masouros, Abdelhamid Salem, and Fan Liu. "Antenna Selection for Energy-Efficient Dual-Functional Radar-Communication Systems." IEEE Wireless Communications Letters 11, no. 4 (2022): 741–45. http://dx.doi.org/10.1109/lwc.2022.3142043.

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4

Liu, Fan, Christos Masouros, Tharmalingam Ratnarajah, and Athina Petropulu. "On Range Sidelobe Reduction for Dual-Functional Radar-Communication Waveforms." IEEE Wireless Communications Letters 9, no. 9 (2020): 1572–76. http://dx.doi.org/10.1109/lwc.2020.2997959.

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5

Shi, Shengnan, Zhaoyi Wang, Zishu He, and Ziyang Cheng. "Constrained waveform design for dual-functional MIMO radar-Communication system." Signal Processing 171 (June 2020): 107530. http://dx.doi.org/10.1016/j.sigpro.2020.107530.

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6

Li, Ting, Tian Liu, Zhangli Song, Lin Zhang, and Yiming Ma. "Deep Learning-Based Multi-Feature Fusion for Communication and Radar Signal Sensing." Electronics 13, no. 10 (2024): 1872. http://dx.doi.org/10.3390/electronics13101872.

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Recent years witness the rapid development of communication and radar technologies, and many transmitters are equipped with both communication and radar functionalities. To keep track of the working state of a target dual-functional transmitter, it is crucial to sense the modulation mode of the emitted signals. In this paper, we propose a deep learning-based intelligent modulation sensing technique for dual-functional transmitters. Different from existing modulation sensing methods, which usually focus on communication signals, we take both communication and radar signals into consideration. T
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7

Hieu, Nguyen Quang, Dinh Thai Hoang, Nguyen Cong Luong, and Dusit Niyato. "iRDRC: An Intelligent Real-Time Dual-Functional Radar-Communication System for Automotive Vehicles." IEEE Wireless Communications Letters 9, no. 12 (2020): 2140–43. http://dx.doi.org/10.1109/lwc.2020.3014972.

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8

Wang, Xinyi, Zesong Fei, Zhong Zheng, and Jing Guo. "Joint Waveform Design and Passive Beamforming for RIS-Assisted Dual-Functional Radar-Communication System." IEEE Transactions on Vehicular Technology 70, no. 5 (2021): 5131–36. http://dx.doi.org/10.1109/tvt.2021.3075497.

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9

Zhang, Tingxiao, Yongbo Zhao, Donghe Liu, and Jinli Chen. "Interference optimized dual-functional radar-communication waveform design with low PAPR and range sidelobe." Signal Processing 204 (March 2023): 108828. http://dx.doi.org/10.1016/j.sigpro.2022.108828.

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10

Zhao, Yinan, Zhongqing Zhao, Fangqiu Tong, Ping Sun, Xiang Feng, and Zhanfeng Zhao. "Joint Design of Transmitting Waveform and Receiving Filter via Novel Riemannian Idea for DFRC System." Remote Sensing 15, no. 14 (2023): 3548. http://dx.doi.org/10.3390/rs15143548.

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Recently, the problem of target detection in noisy environments for the Dual-Functional Radar Communication (DFRC) integration system has been a hot topic. In this paper, to suppress the noise and further enhance the target detection performance, a novel manifold Riemannian Improved Armijo Search Conjugate Gradient algorithm (RIASCG) framework has been proposed which jointly optimizes the integrated transmitting waveform and receiving filter. Therein, the reference waveform is first designed to achieve excellent pattern matching of radar beamforming. Furthermore, to ensure the quality of syste
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11

Huang, Chao, Qingsong Zhou, Zhongrui Huang, Zhihui Li, Yibo Xu, and Jianyun Zhang. "Unimodular Waveform Design for the DFRC System with Constrained Communication QoS." Remote Sensing 15, no. 22 (2023): 5350. http://dx.doi.org/10.3390/rs15225350.

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In this study, we investigated two waveform design problems for a dual-functional radar communication (DFRC) system, taking into consideration different constrained communication quality-of-service (QoS) requirements. Our objective was to minimize the mean-square error (MSE) of radar beampattern matching as the cost function. To this end, the multi-user interference (MUI) energy constraint and constructive interference (CI) constraint were, respectively, formulated to ensure the communication QoS. It is important to note that we designed a strict per-user MUI energy constraint at each sampling
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12

Yu, Miao, Xiaoyou Yu, Shengyan Zeng, and Qi Yang. "Equal Sinusoidal Division of Array Manifold Matrix Based Direction-of-Arrival Estimation for Dual-functional Radar-communication." Journal of Physics: Conference Series 1972, no. 1 (2021): 012007. http://dx.doi.org/10.1088/1742-6596/1972/1/012007.

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13

Liu, Yuan, Shengjie Zhao, Fengxia Han, Mengqiu Chai, Hao Jiang, and Hongming Zhang. "Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks." Remote Sensing 15, no. 21 (2023): 5126. http://dx.doi.org/10.3390/rs15215126.

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With the ongoing changes in global climate, ocean data play a crucial role in understanding the complex variations in the earth system. These variations pose significant challenges to human efforts in addressing the changes. As a data hub for the satellite geodetic technique, unmanned aerial vehicles (UAVs) instill new vitality into ocean data collection due to their flexibility and mobility. At the same time, the dual-functional radar-communication (DFRC) system is considered a promising technology to empower ubiquitous communication and high-accuracy localization. In this paper, we explore a
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14

Keskin, Musa Furkan, Visa Koivunen, and Henk Wymeersch. "Limited Feedforward Waveform Design for OFDM Dual-Functional Radar-Communications." IEEE Transactions on Signal Processing 69 (2021): 2955–70. http://dx.doi.org/10.1109/tsp.2021.3076894.

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15

Valiulahi, Iman, Christos Masouros, and Abdelhamid Salem. "Net-Zero Energy Dual-Functional Radar-Communication Systems." IEEE Transactions on Green Communications and Networking, 2023, 1. http://dx.doi.org/10.1109/tgcn.2023.3236029.

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16

Wang, Junqiu, Yunfei Chen, and Li Chen. "Transmit Beamforming for MIMO Dual Functional Radar-Communication with IQI." IEEE Transactions on Vehicular Technology, 2023, 1–13. http://dx.doi.org/10.1109/tvt.2023.3290155.

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17

Li, Zhuo, Zhong-gui Ma, and Yan-peng Liang. "Transmission Waveform Design of MIMO Dual-Functional Radar-Communication System." Wireless Personal Communications, July 28, 2023. http://dx.doi.org/10.1007/s11277-023-10594-y.

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18

Liu, Rang, Ming Li, Qian Liu, and A. Lee Swindlehurst. "Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach." IEEE Journal of Selected Topics in Signal Processing, 2021, 1. http://dx.doi.org/10.1109/jstsp.2021.3111438.

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19

Wang, Xinyi, Zesong Fei, J. Andrew Zhang, Jingxuan Huang, and Jinhong Yuan. "Constrained Utility Maximization in Dual-Functional Radar-Communication Multi-UAV Networks." IEEE Transactions on Communications, 2020, 1. http://dx.doi.org/10.1109/tcomm.2020.3044616.

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20

Temiz, Murat, E. A. Alsusa, and Mohammed W. Baidas. "A Dual-Functional Massive MIMO OFDM Communication and Radar Transmitter Architecture." IEEE Transactions on Vehicular Technology, 2020, 1. http://dx.doi.org/10.1109/tvt.2020.3031686.

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21

Cui, Yaping, Kang Wang, Peng He, Ruyan Wang, and Dapeng Wu. "Joint Optimization for RIS Assisted Dual Functional Radar Communication in IoV." APSIPA Transactions on Signal and Information Processing 13, no. 4 (2024). http://dx.doi.org/10.1561/116.00000060.

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22

Tong, Xiao, Xin Li, Fuwang Dong, Wei Wang, and Ang Li. "Secrecy rate optimization for dual‐functional radar‐communication system with energy receiver." Transactions on Emerging Telecommunications Technologies, August 14, 2022. http://dx.doi.org/10.1002/ett.4617.

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23

Bazzi, Ahmad, and Marwa Chafii. "On Outage-based Beamforming Design for Dual-Functional Radar-Communication 6G Systems." IEEE Transactions on Wireless Communications, 2023, 1. http://dx.doi.org/10.1109/twc.2023.3235617.

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24

Şahin, Mehmet Mert, Ilter Erol Gurol, Emre Arslan, Ertugrul Basar, and Huseyin Arslan. "OFDM-IM for Joint Communication and Radar-Sensing: A Promising Waveform for Dual Functionality." Frontiers in Communications and Networks 2 (August 26, 2021). http://dx.doi.org/10.3389/frcmn.2021.715944.

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The demand for dual-functional wireless systems is on the rise as certain resources become more congested and scarce. Joint communication-radar (JCR) is a promising technology that is becoming very critical and growing in popularity, where communication and radar applications are serviced simultaneously sharing the same hardware/software and the frequency band resources. JCR and its alternatives need to be cleverly integrated into certain waveforms such as orthogonal frequency division multiplexing (OFDM) to function properly without degradation in the performance. With the aid of the promisin
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25

Liu, Beiyuan, Jiajia Liu, and Nei Kato. "Optimal Beamformer Design for Millimeter Wave Dual-Functional Radar-Communication Based V2X Systems." IEEE Journal on Selected Areas in Communications, 2022, 1. http://dx.doi.org/10.1109/jsac.2022.3196089.

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26

Su, Nanchi, Fan Liu, Zhongxiang Wei, Ya-Feng Liu, and Christos Masouros. "Secure Dual-Functional Radar-Communication Transmission: Exploiting Interference for Resilience Against Target Eavesdropping." IEEE Transactions on Wireless Communications, 2022, 1. http://dx.doi.org/10.1109/twc.2022.3156893.

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27

Yu, Xiaoyou, Qi Yang, Zhu Xiao, Hongyang Chen, Vincent Havyarimana, and Zhu Han. "A Precoding Approach for Dual-Functional Radar-Communication System with One-Bit DACs." IEEE Journal on Selected Areas in Communications, 2022, 1. http://dx.doi.org/10.1109/jsac.2022.3155532.

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28

Zhao, Yujiu, Yiqin Chen, Matthew Ritchie, Weimin Su, and Hong Gu. "MIMO Dual-Functional Radar-Communication Waveform Design with Peak Average Power Ratio Constraint." IEEE Access, 2020, 1. http://dx.doi.org/10.1109/access.2020.3045083.

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29

He, Yinghui, Yunlong Cai, Guanding Yu, and Kai-Kit Wong. "Joint Transceiver Design for Dual-Functional Full-Duplex Relay Aided Radar-Communication Systems." IEEE Transactions on Communications, 2022, 1. http://dx.doi.org/10.1109/tcomm.2022.3216334.

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30

Chen, Li, Zhiqin Wang, Jiamo Jiang, Yunfei Chen, and F. Richard Yu. "Full-duplex SIC Design and Power Allocation for Dual-functional Radar-Communication Systems." IEEE Wireless Communications Letters, 2022, 1. http://dx.doi.org/10.1109/lwc.2022.3222197.

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31

Yu, Xiaoyou, Li Tu, Qi Yang, Miao Yu, Zhu Xiao, and Yongdong Zhu. "Hybrid Beamforming in Mmwave Massive MIMO for IoV With Dual-Functional Radar Communication." IEEE Transactions on Vehicular Technology, 2023, 1–15. http://dx.doi.org/10.1109/tvt.2023.3247747.

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32

Zhong, Chen, Mengting Lou, Chunrong Gu, Lan Tang, and Yechao Bai. "Performance optimization and parameters estimation for MIMO-OFDM dual-functional communication-radar systems." Digital Communications and Networks, December 2023. http://dx.doi.org/10.1016/j.dcan.2023.12.006.

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33

Xu, Rui, Ruiming Wen, Gang Li, Chu Chu, and Guangjun Wen. "Dual-Functional Radar-Communication Based on Frequency Modulated Continuous Wave Exploiting Constraint Frequency Hopping." Signal Processing, January 2024, 109403. http://dx.doi.org/10.1016/j.sigpro.2024.109403.

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34

Liu, Beiyuan, Jinjing Jiang, Qian Liu, Jiajia Liu, and Sai Xu. "An Intelligent Reflecting Surface Based Attack Scheme Against Dual-Functional Radar and Communication Systems." IEEE Transactions on Information Forensics and Security, 2024, 1. http://dx.doi.org/10.1109/tifs.2024.3390621.

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35

Zhong, Weizhi, Zhenhao Yu, Yuhang Wu, Fuhui Zhou, Qihui Wu, and Naofal Al-Dhahir. "Resource Allocation for an IRS-Assisted Dual-Functional Radar and Communication System: Energy Efficiency Maximization." IEEE Transactions on Green Communications and Networking, 2023, 1. http://dx.doi.org/10.1109/tgcn.2022.3233839.

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36

Dong, Fuwang, Wei Wang, Xin Li, Fan Liu, Sheng Chen, and Lajos Hanzo. "Joint Beamforming Design for Dual-Functional MIMO Radar and Communication Systems Guaranteeing Physical Layer Security." IEEE Transactions on Green Communications and Networking, 2023, 1. http://dx.doi.org/10.1109/tgcn.2022.3233863.

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37

Dizdar, Onur, Aryan Kaushik, Bruno Clerckx, and Christos Masouros. "Energy Efficient Dual-Functional Radar-Communication: Rate-Splitting Multiple Access, Low-Resolution DACs, and RF Chain Selection." IEEE Open Journal of the Communications Society, 2022, 1. http://dx.doi.org/10.1109/ojcoms.2022.3183950.

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38

Li, Yiqing, and Miao Jiang. "Joint Transmit Beamforming and Receive Filters Design for Coordinated Two-cell Interfering Dual-Functional Radar-Communication Networks." IEEE Transactions on Vehicular Technology, 2022, 1–6. http://dx.doi.org/10.1109/tvt.2022.3193001.

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39

Yang, Rui, Hong Jiang, and Liangdong Qu. "Waveform Design for MIMO Dual-Functional Radar-Communication System Using MUI Energy Minimization with PAPR and CRB Constraints." IEEE Communications Letters, 2023, 1. http://dx.doi.org/10.1109/lcomm.2023.3259549.

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40

Taylor, Abigael, and Olivier Rabaste. "Let it GUWO: Waveform optimization for angular blanking and robustification in a MIMO Dual-Functional Radar-Communication system." IEEE Transactions on Radar Systems, 2024, 1. http://dx.doi.org/10.1109/trs.2024.3381033.

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41

Brem, Anna‐Katharine, Gaetano Scebba, Jelena Curcic, et al. "Motor‐cognitive dual tasking in the clinical setting: a sensitive measure of functional impairment in early Alzheimer’s disease." Alzheimer's & Dementia 19, S14 (2023). http://dx.doi.org/10.1002/alz.071137.

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AbstractBackgroundGait is a complex everyday activity that depends upon supraspinal activity and a host of cognitive functions such as attention and executive functions. As cognition declines in neurodegenerative diseases, the interaction and competition for neuronal resources during motor‐cognitive dual‐tasking (e.g., walking while talking) might be a sensitive measure of subtle functional impairments in early Alzheimer’s disease (AD). Here, we aim to identify gait deficits due to neuronal competition across the AD spectrum.MethodThis investigation is part of the ongoing Remote Assessment of
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42

Song, Taejun, Jongmin Lee, Kwangseok Oh, and Kyongsu Yi. "Dual-sliding mode approach for separated fault detection and tolerant control for functional safety of longitudinal autonomous driving." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, October 16, 2020, 095440702096262. http://dx.doi.org/10.1177/0954407020962627.

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This paper describes model-based separated fault detection and fault tolerant control of longitudinal autonomous driving using dual-sliding mode observer for functional safety. Internal and environment sensors such as camera or radar are required to measure the acceleration information of the subject vehicle and the relative distance and velocity information between the preceding and subject vehicles in longitudinal autonomous driving. In order to detect the independent fault of each sensor, a dual-sliding mode observer (SMO) is used for fault reconstruction under the assumption that V2V (Vehi
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43

Vairavan, Srinivasan, Manuel Lentzen, Marijn Muurling, et al. "A multimodal digital biomarker of functional deficits in early‐stage Alzheimer’s disease: results of the RADAR‐AD study." Alzheimer's & Dementia 19, S15 (2023). http://dx.doi.org/10.1002/alz.071136.

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AbstractBackgroundRemote monitoring technologies (RMTs), such as smartphone apps, smartwatches, and in‐home sensors, are rapidly changing the way functional and cognitive performance is measured in Alzheimer’s disease (AD) patients. Here, we present results from the European RADAR‐AD study on the use of multimodal data streams for the identification of functional deficits across all syndromic stages of AD.MethodFour study groups (Healthy controls (HC), preclinical AD (pre. AD), prodromal AD (pro. AD), and mild AD) were included in this cross‐sectional study. The RMT features (gait measures fro
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44

Wang Jing-Li, Dong Xian-Chao, Yin-Liang, et al. "Terahertz dual-frequency multi-function coding metasurface based on vanadium dioxide." Acta Physica Sinica, 2023, 0. http://dx.doi.org/10.7498/aps.72.20222321.

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Terahertz (THz) wave has the advantages of low photon energy, high resolution, large communication bandwidth, etc. It has broad application prospects in security detection, high-resolution imaging, high-speed communication and other fields. In recent years, as a new way to control THz wave, THz metasurface functional devices have attracted extensive attention of researchers. In this paper, vanadium dioxide (VO<sub>2</sub>), a phase change material, is introduced into the coding metasurface. By regulating a circularly polarized wave and the orthogonal linearly polarized waves indepe
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45

Xu, Jing, Xiangrong Wang, Elias Aboutanios, and Guolong Cui. "Hybrid Index Modulation for Dual-functional Radar Communications Systems." IEEE Transactions on Vehicular Technology, 2022, 1–15. http://dx.doi.org/10.1109/tvt.2022.3219888.

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46

Memisoglu, Ebubekir, Talha Yłlmaz, and Hüseyin Arslan. "Waveform Design with Constellation Extension for OFDM Dual-Functional Radar-Communications." IEEE Transactions on Vehicular Technology, 2023, 1–10. http://dx.doi.org/10.1109/tvt.2023.3281130.

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47

Sweta, S., Ankit Dubey, and Van-Linh Nguyen. "Efficient IRS-aided Rate Optimizations for Dual Functional Radar and Communications." IEEE Communications Letters, 2023, 1. http://dx.doi.org/10.1109/lcomm.2023.3337232.

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48

Wang Jing-Li, Yang Zhi-xiong, Dong Xian-chao, et al. "Terahertz anisotropic coding metasurface based on vanadium dioxide." Acta Physica Sinica, 2023, 0. http://dx.doi.org/10.7498/aps.72.20222171.

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Terahertz (THz) wave has the advantages of high resolution, large information capacity, easy beam focusing, etc, which can be used in communication, radar, detection and other fields. As a two-dimensional artificial electromagnetic metamaterial, the coding metasurface is first proposed in the microwave band. It uses the digital coding of the electromagnetic wave phase to adjust electromagnetic waves. Subsequently, as an important way to regulate THz, the metasurface extends to terahertz frequency band and becomes a research hotspot of scholars. In this paper, a coding metasurface based on vana
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49

Wang, Chao, Cheng-Cai Wang, Zan Li, et al. "STAR-RIS-Enabled Secure Dual-Functional Radar-Communications: Joint Waveform and Reflective Beamforming Optimization." IEEE Transactions on Information Forensics and Security, 2023, 1. http://dx.doi.org/10.1109/tifs.2023.3297452.

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