Добірка наукової літератури з теми "Passive Beamforming"
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Статті в журналах з теми "Passive Beamforming"
Gao, Jiabao, Caijun Zhong, Xiaoming Chen, Hai Lin, and Zhaoyang Zhang. "Unsupervised Learning for Passive Beamforming." IEEE Communications Letters 24, no. 5 (May 2020): 1052–56. http://dx.doi.org/10.1109/lcomm.2020.2965532.
Повний текст джерелаDi Martino, Gerardo, and Antonio Iodice. "Passive beamforming with coprime arrays." IET Radar, Sonar & Navigation 11, no. 6 (June 2017): 964–71. http://dx.doi.org/10.1049/iet-rsn.2016.0517.
Повний текст джерелаJung, Minchae, Taehyoung Kim, and Hyukmin Son. "Performance Analysis of RIS-Assisted SatComs Based on a ZFBF and Co-Phasing Scheme." Mathematics 12, no. 8 (April 21, 2024): 1257. http://dx.doi.org/10.3390/math12081257.
Повний текст джерелаGao, Chuanzhe, Shidang Li, Yixuan Wu, Siyi Duan, Mingsheng Wei, and Bencheng Yu. "Power-Efficient Resource Allocation for Active STAR-RIS-Aided SWIPT Communication Systems." Future Internet 16, no. 8 (July 25, 2024): 266. http://dx.doi.org/10.3390/fi16080266.
Повний текст джерелаZhao, Ke, Zhiqun Song, Yong Li, Xingjian Li, Lizhe Liu, and Bin Wang. "A Deep Evolution Policy-Based Approach for RIS-Enhanced Communication System." Entropy 26, no. 12 (December 5, 2024): 1056. https://doi.org/10.3390/e26121056.
Повний текст джерелаZhang, Wenjuan, Honggui Deng, Youzhen Li, Zaoxing Zhu, Chengzuo Peng, and Gang Liu. "Beamforming Optimization for Intelligent Reflecting Surface-Assisted MIMO Systems." Symmetry 14, no. 8 (July 23, 2022): 1510. http://dx.doi.org/10.3390/sym14081510.
Повний текст джерелаLiu, Shijing, Fusheng Gong, Yuebo Li, and Xiangbo Sun. "Kalman filtering used for passive synthetic aperture." Journal of Physics: Conference Series 2756, no. 1 (May 1, 2024): 012013. http://dx.doi.org/10.1088/1742-6596/2756/1/012013.
Повний текст джерелаQian, Yuyan, Honggui Deng, Aimin Guo, Haoqi Xiao, Chengzuo Peng, and Yinhao Zhang. "Beamforming Design for Cooperative Intelligent Reflecting Surface-Assisted mmWave Communication." Sensors 22, no. 16 (August 18, 2022): 6214. http://dx.doi.org/10.3390/s22166214.
Повний текст джерелаSomasundaram, Samuel D. "Wideband Robust Capon Beamforming for Passive Sonar." IEEE Journal of Oceanic Engineering 38, no. 2 (April 2013): 308–22. http://dx.doi.org/10.1109/joe.2012.2223560.
Повний текст джерелаAbadi, Shima H., Kevin J. Haworth, Karla P. Mercado-Shekhar, and David R. Dowling. "Frequency-sum beamforming for passive cavitation imaging." Journal of the Acoustical Society of America 144, no. 1 (July 2018): 198–209. http://dx.doi.org/10.1121/1.5045328.
Повний текст джерелаДисертації з теми "Passive Beamforming"
Cremer, Markus. "Digital beamforming techniques for passive UHF RFID tag localization." Thesis, London South Bank University, 2016. http://researchopen.lsbu.ac.uk/1819/.
Повний текст джерелаGebbie, John Thomas. "Advances in Aquatic Target Localization with Passive Sonar." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1932.
Повний текст джерелаChmiel, Malgorzata. "Traitement de données géophysiques en réseaux denses en configuration sismique passive et active." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAU009/document.
Повний текст джерелаIn geophysics, spatially dense arrays enhance the spatial and frequential characterization of the various waves propagating in the medium. Of course, surface array is subject to strong surface waves. Surface waves highly impact the processing of geophysical data acquired at ground level. They can be considered as noise and subject to suppression as they mask sub-surface information.However, they can be useful for near-surface imaging if they are well retrieved. In any case, their characterization is crucial in active and passive exploration geophysics. In passive microseismic monitoring, ambient surface noise consists of surface waves. The main goal of passive monitoring is to minimize the impact of surface waves on the actual microseismic data. The strong ambient surface noise lowers the sensitivity and the efficiency ofdetection and location methods. Moreover, current location and detection methods usually require strong a priori information (e.g., a velocity model or a template).Active sources generate strong surface waves. In active seismic, current processing strategies often consist in manually picking surface wave arrivals in order to use or remove them. This is often a complex, time consuming, and an ambiguous task. However, it is needed for near- and sub-surface imaging. Surface waves can be particularly difficult to retrieve in sparse arrays. We propose to apply the techniques of interferometry and beamforming (Matched Field Processing in particular) in the context of dense arrays. High trace density opens new possibilities in geophysical processing in both passive and active surveys. We show that the ambient noise can be explored in the case of microseismic monitoring to extract important information about the medium properties. Moreover, we develop a denoising approach to remove the noise sources at the surface and detect the microseismic event. Furthermore, we propose an automatic detection and location method with a minimum a priori information to retrieve the distribution of heterogeneities in the reservoir, in the well vicinity.In active survey, we propose an interferometric, automatic approach to characterize the surface waves. We retrieve phase-sensitivity kernels of surface waves between any two points of the acquisition. These kernels are consequently used to obtain multi-mode dispersion curves. These dispersion curves make it possible to separate different modes of surface waves and provide near-surface information if inverted.The above presented methodologies benefit from spatially dense arrays.Dense arrays of sources or receivers enable alternative, innovative applications in geophysical processing
Browning, Kyle C. "Passive and Electronically Steered Array Planar Feeds for Satellite Communications." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/3961.
Повний текст джерелаSadok, Mustapha. "Exploitation de la non-circularité pour les transmissions et l'écoute passive." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0019/document.
Повний текст джерелаThis thesis is devoted to exploit the non-circularity and non-gaussianity properties of signals of interest (SOI) and/or interference for wireless transmissions and passive listening. In the first part of this thesis, we are interested in the extension of conventional SIMO-MLSE receivers to new architectures exploiting the potential second order non-circularity of co-channel interference (CCI), for the demodulation of rectilinear signals (BPSK, ASK), quasi-rectilinear (MSK, GMSK and OQAM) and quadrature amplitude modulation (QAM). The general architecture of the developed receivers is based on a pre-processing with a widely linear (WL) extension of the spatio-temporal matched filter, bringing the demodulation processing back to a scalar problem, a sampling at the symbol rate and then a decision block based on a modified version of the Viterbi algorithm. For the particular case of the quasi-rectilinear signals, a derotation processing is interposed between the sampler and the decision block. A work on equivalent discrete time modeling of SOI, interferers and background noise has been carried out in order to create simulation models as for the validation of the interpretable analytic SINR expressions, by the evaluation of the symbol error rates. In a second part, we are interested to the beamforming through complex Volterra structures of the third order. These structures allow us the exploitation of the non-circularity up to the sixth order as well as the non-gaussian nature of the SOI and/or the interferences. For passive listening applications, we have introduced a third-order Volterra MVDR beamformer using only a priori information of SOI steering vector and implemented by an equivalent GSC structure. We have studied its performance, in particular by interpretable closed-form expressions as functions of statistics of the interference, and by its speed of learning, thus proving its advantages with respect to the conventional linear and WL MVDR beamformers. For wireless communications applications, we have studied an MMSE version of this complex Volterra beamformer of the third order that takes into account of the non-circularity up to the sixth order as well as the non-gaussian nature of the SOI and interference. The last part of this thesis is devoted to the robustness of rectilinearity tests in the presence of frequency offset. These tests are important for adjusting the processing (linear or WL) as a function of the rectilinearity of the signals in order to guarantee the best performance/convergence rate ratio of algorithms
Lepkowski, Stefan. "An ultra-compact and low loss passive beamforming network integrated on chip with off chip linear array." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53599.
Повний текст джерелаMuzi, Lanfranco. "Advances in Autonomous-Underwater-Vehicle Based Passive Bottom-Loss Estimation by Processing of Marine Ambient Noise." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2612.
Повний текст джерелаRemillieux, Marcel Christophe. "Aeroacoustic Study of a Model-Scale Landing Gear in a Semi-Anechoic Wind Tunnel." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31674.
Повний текст джерелаMaster of Science
Sadok, Mustapha. "Exploitation de la non-circularité pour les transmissions et l'écoute passive." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0019.
Повний текст джерелаThis thesis is devoted to exploit the non-circularity and non-gaussianity properties of signals of interest (SOI) and/or interference for wireless transmissions and passive listening. In the first part of this thesis, we are interested in the extension of conventional SIMO-MLSE receivers to new architectures exploiting the potential second order non-circularity of co-channel interference (CCI), for the demodulation of rectilinear signals (BPSK, ASK), quasi-rectilinear (MSK, GMSK and OQAM) and quadrature amplitude modulation (QAM). The general architecture of the developed receivers is based on a pre-processing with a widely linear (WL) extension of the spatio-temporal matched filter, bringing the demodulation processing back to a scalar problem, a sampling at the symbol rate and then a decision block based on a modified version of the Viterbi algorithm. For the particular case of the quasi-rectilinear signals, a derotation processing is interposed between the sampler and the decision block. A work on equivalent discrete time modeling of SOI, interferers and background noise has been carried out in order to create simulation models as for the validation of the interpretable analytic SINR expressions, by the evaluation of the symbol error rates. In a second part, we are interested to the beamforming through complex Volterra structures of the third order. These structures allow us the exploitation of the non-circularity up to the sixth order as well as the non-gaussian nature of the SOI and/or the interferences. For passive listening applications, we have introduced a third-order Volterra MVDR beamformer using only a priori information of SOI steering vector and implemented by an equivalent GSC structure. We have studied its performance, in particular by interpretable closed-form expressions as functions of statistics of the interference, and by its speed of learning, thus proving its advantages with respect to the conventional linear and WL MVDR beamformers. For wireless communications applications, we have studied an MMSE version of this complex Volterra beamformer of the third order that takes into account of the non-circularity up to the sixth order as well as the non-gaussian nature of the SOI and interference. The last part of this thesis is devoted to the robustness of rectilinearity tests in the presence of frequency offset. These tests are important for adjusting the processing (linear or WL) as a function of the rectilinearity of the signals in order to guarantee the best performance/convergence rate ratio of algorithms
Vandelle, Erika. "Exploration de solutions antennaires et de formation passive de faisceaux pour la récupération et le transfert d’énergie sans fil." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT060.
Повний текст джерелаWireless energy harvesting (WEH) of ambient or intentional electromagnetic power sources of frequency ranging from 100 MHz to 10 GHz, has appeared as a promising solution to develop self-powered electronics in the past decades. However, the low power densities available, usually lower than 1 uW.cm-2, result in a limited RF-to-DC conversion efficiency and sensitivity of the energy harvesting system (rectenna) and the ambient signal diversities (unknown and time-varying direction of arrival, polarization) prohibit the use of directive antennas.In this thesis, the power combination techniques of Radio Frequency (RF) or Direct Current (DC) power in multi-antenna WEH systems, together with original structures, are investigated to address those challenges. Besides, a new Figure-of-Merit (harvesting capability) for rectennas operating in ambient scenarios is derived with probabilistic terms representing the frequency, polarization and spatial diversities of ambient signals.The first part of this thesis focuses on the design of efficient antenna and rectenna elements. Eco-responsible and low-cost prototypes are proposed by using a paper substrate along with an original strategy for the reduction of the losses.In the second part of this work, the rectification efficiency of a WEH system is enhanced through the combination of the RF power prior to the rectification process, without reduction of the spatial coverage. For this, a 3D multidirectional structure of scanning antenna arrays using passive beam-forming networks is designed to obtain a multidirectional high gain aggregate pattern. This radar-inspired solution involving Butler matrices results in a highly efficient RF-to-DC power conversion along with an optimal angular coverage, which leads to a harvesting capability higher than the state-of-the-art.The last part of this work addresses the limited sensitivity of the RF combination technique compared to that obtained with the series DC combination technique thanks to a reconfigurable system. To this end, modular rectenna unit cells are designed to form a scalable and adaptative interferometric beam-forming network, which offers the possibility to achieve a highly efficient and sensitive WEH system. This solution is suitable for low-power energy harvesting, autonomous passive tracking or RFID applications
Частини книг з теми "Passive Beamforming"
Yu, Yikun, Peter G. M. Baltus, and Arthur H. M. van Roermund. "A 60GHz Passive Phase Shifter." In Integrated 60GHz RF Beamforming in CMOS, 47–58. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0662-0_5.
Повний текст джерелаLi, MengLei, YueLin Xu, ShiRui Wang, and YiQing Li. "Passive Detection Beamforming Based on Arc Array." In Advanced Intelligent Technologies for Information and Communication, 13–21. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5203-8_2.
Повний текст джерелаPusone, E. G., and L. J. Lloyd. "Passive Synthetic Aperture Sonar — An Analysis of the Beamforming Process." In Adaptive Methods in Underwater Acoustics, 731–39. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5361-1_61.
Повний текст джерелаHe, Chen, Xie Xie, Yangrui Dong, and Shun Zhang. "Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Cell-free Networks." In Communications and Networking, 264–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99200-2_21.
Повний текст джерелаAwad, Safa, Rui Wang, and Ismael Soto. "Target Detection in ISAC System Equipped with IRS: A Joint Active and Passive Beamforming Approach." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 66–80. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67162-3_5.
Повний текст джерелаKallinich, Nina, Martin Thorwart, and Wolfgang Rabbel. "Determination of the subsurface structure of the Chora Plain (Samos) by seismic noise analysis." In Advances in On- and Offshore Archaeological Prospection, 415–18. Kiel: Universitätsverlag Kiel | Kiel University Publishing, 2023. http://dx.doi.org/10.38072/978-3-928794-83-1/p84.
Повний текст джерелаТези доповідей конференцій з теми "Passive Beamforming"
Huang, Jiansong, Wen-Bin Sun, Yanyun Gong, Lue Wang, and Ling Wang. "Passive Beamforming for RIS-Assisted OTFS Systems." In 2024 IEEE/CIC International Conference on Communications in China (ICCC), 427–32. IEEE, 2024. http://dx.doi.org/10.1109/iccc62479.2024.10681906.
Повний текст джерелаChêne, Thomas, and Ghaya Rekaya-Ben Othman. "Adaptive Bayesian Method for RIS Passive Beamforming." In 2024 19th International Symposium on Wireless Communication Systems (ISWCS), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/iswcs61526.2024.10639111.
Повний текст джерелаChen, Zhen, Zhenqiu Jian, and Kai Fang. "Joint Power Allocation and Passive Beamforming for Distributed RIS Multiuser Networks." In 2024 9th International Conference on Signal and Image Processing (ICSIP), 126–31. IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671553.
Повний текст джерелаWu, Sili, Shuyan Hu, Zaichuan Zhang, and Xin Wang. "Active and Passive Beamforming for STAR-RIS Aided ISAC in IoT Networks." In 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP), 1163–68. IEEE, 2024. https://doi.org/10.1109/wcsp62071.2024.10827223.
Повний текст джерелаLuo, Jintao, and Sixing Yin. "Intelligent Reflecting Surface Aided Wireless Communication Systems: Joint Location and Passive Beamforming Design." In 2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT), 889–95. IEEE, 2024. http://dx.doi.org/10.1109/iceict61637.2024.10671014.
Повний текст джерелаZhang, Jifa, Mingqian Liu, Jie Tang, Nan Zhao, Dusit Niyato, and Xianbin Wang. "Joint Waveform and Passive Beamforming Design for IRS-Aided ISAC via Deep Unfolding." In 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP), 734–39. IEEE, 2024. https://doi.org/10.1109/wcsp62071.2024.10827035.
Повний текст джерелаBarhen, Jacob, Travis Humble, and Michael Traweek. "FFT-based sonar array beamforming without corner turning." In 2008 New Trends for Environmental Monitoring Using Passive Systems (PASSIVE 2008). IEEE, 2008. http://dx.doi.org/10.1109/passive.2008.4786980.
Повний текст джерелаPawlukiewicz, Stanley, and Kathleen E. Wage. "Passive Coprime Split Aperture Beamforming." In OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018. http://dx.doi.org/10.1109/oceans.2018.8604653.
Повний текст джерелаYocom, Bryan A., T. W. Yudichak, and Brian R. La Cour. "Passive beamforming enhancements in relation to active-passive data fusion." In 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE, 2008. http://dx.doi.org/10.1109/acssc.2008.5074430.
Повний текст джерелаTamminen, Aleksi, Samu-Ville Pälli, Juha Ala-Laurinaho, Arthur Aspelin, Akseli Oinaanoja, and Zachary Taylor. "Holograms with neural-network backend for submillimeter-wave beamforming applications." In Passive and Active Millimeter-Wave Imaging XXIII, edited by Duncan A. Robertson and David A. Wikner. SPIE, 2020. http://dx.doi.org/10.1117/12.2557754.
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