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Hybrid data and model driven algorithms for angular power spectrum estimation [article]

Renato Luis Garrido Cavalcante, Slawomir Stanczak
2020 arXiv   pre-print
We propose two algorithms that use both models and datasets to estimate angular power spectra from channel covariance matrices in massive MIMO systems.  ...  Then, from this set, the algorithm selects the angular power spectrum with minimum distance to its expected value with respect to a Hilbertian metric learned from data.  ...  As we now show, the proposed hybrid data and model driven algorithms can mitigate problems of this type.  ... 
arXiv:2005.14003v6 fatcat:cekfllshuzg45j67daum33ji74

OUP accepted manuscript

2019 Monthly notices of the Royal Astronomical Society  
We estimate the B-mode power spectrum due to patchy reionization using a combination of photon-conserving semi-numerical simulation and analytical calculation, and compare its amplitude with the primordial  ...  If contamination from patchy reionization is neglected in the analysis of B-mode polarization data, then for the models of reionization considered in this analysis, we find a maximum bias of about 30%  ...  (C BB l − C BB l ), (13) where,C BB l and C BB l are the mock data power spectrum and model power spectrum respectively.  ... 
doi:10.1093/mnras/stz1002 fatcat:zkjubeqx4jfobjmaj6kaac747y

The hybrid SZ power spectrum: combining cluster counts and SZ fluctuations to probe gas physics

J. M. Diego, Subhabrata Majumdar
2004 Monthly notices of the Royal Astronomical Society  
We present a toy model showing how complementary informations from SZ power spectrum and the SZ flux counts, both obtained from upcoming SZ cluster surveys, can be used to mitigate the strong cosmological  ...  Once the strong dependence of the cluster SZ power spectrum on sigma_8 is diluted, the cluster power spectrum can be used as a tool in studying cluster gas structure and evolution.  ...  We also would like to thank Max Tegmark, Ue-Li Pen, Gil Holder, Martin White and Maija Jespersen for discussions and suggestions.  ... 
doi:10.1111/j.1365-2966.2004.07989.x fatcat:zs4lnjiikjeerpfl4tik6ydgve

Channel Estimation and Hybrid Architectures for RIS-Assisted Communications [article]

Jiguang He and Nhan Thanh Nguyen and Rafaela Schroeder and Visa Tapio and Joonas Kokkoniemi and Markku Juntti
2021 arXiv   pre-print
., PHY modelling (including also physics), channel estimation, potential RIS architectures, and RIS phase control (via both model-based and data-driven approaches), along with recent numerical results.  ...  Various benefits brought by deploying one or multiple RISs include increased spectrum and energy efficiency, enhanced connectivity, extended communication coverage, reduced complexity at transceivers,  ...  ACKNOWLEDGMENT This work is supported by Horizon 2020, European Union's Framework Programme for Research and Innovation, under grant agreement no. 871464 (ARIADNE) and partially supported by the Academy  ... 
arXiv:2104.07115v1 fatcat:2mqvn2iemrgibklb2k6cuhj5ou

A comparison of CMB angular power spectrum estimators at large scales: the TT case

D. Molinari, A. Gruppuso, G. Polenta, C. Burigana, A. De Rosa, P. Natoli, F. Finelli, F. Paci
2014 Monthly notices of the Royal Astronomical Society  
In the context of cosmic microwave background (CMB) data analysis, we compare the efficiency at large scale of two angular power spectrum algorithms, implementing, respectively, the quadratic maximum likelihood  ...  (QML) estimator and the pseudo spectrum (pseudo-Cl) estimator.  ...  CROMASTER CROMASTER is an implementation of the pseudo-C method proposed by Hivon et al. (2002) , extended to allow for both auto-and cross-power spectrum estimation (see Polenta et al. 2005 , for a  ... 
doi:10.1093/mnras/stu386 fatcat:xmsfwbzdx5gcdmg3hdotajpgeq

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
Kim, D.I., Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks; TVT Jan. 2020 920-934 Jibrin, R., see Jia, Y., TVT Dec. 2020 14173-14187 Jin, B., see Zhu, Y., TVT Aug. 2020 8317-8328  ...  + Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Data-Driven Deep Learning to Design Pilot and Channel Estimator for Massive MIMO.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

Prediction, operations, and condition monitoring in wind energy

Andrew Kusiak, Zijun Zhang, Anoop Verma
2013 Energy  
Models for planning operations of different hybrid power systems including wind generation for various objectives are addressed.  ...  Approaches based on statistics, physics, and data mining for wind speed prediction at different time scales are reviewed.  ...  Acknowledgements This research was supported by funds from the Iowa Energy Center Grant No. 07-01 and City University Project No. 7200314.  ... 
doi:10.1016/j.energy.2013.07.051 fatcat:3bj6wsw2ljaivehmxxm2ogqbee

DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks [article]

Zhuangzhuang Dai, Yuhang He, Tran Vu and Niki Trigoni and Andrew Markham
2021 arXiv   pre-print
We compare and contrast deep-learning based angle classification and regression models, to estimate up to two AoAs accurately.  ...  We note that digitally sampled RF frontends allow for the easy analysis of signals, and their delayed components.  ...  DEEPAOANET We develop a data-driven algorithm to predict AoA's robustly and accurately in multipath conditions.  ... 
arXiv:2112.00695v2 fatcat:lc5iope6wza2tcisc5qhrolfum

Application of XFaster power spectrum and likelihood estimator to Planck [article]

G. Rocha, C. R. Contaldi, J. R. Bond, K. M. Gorski
2010 arXiv   pre-print
We show that it can accurately extract the power spectrum of Planck data for the high-l multipoles range.  ...  We give an overview of this estimator and its current implementation and present the results of applying this algorithm to simulated Planck data.  ...  at small angular scales (high-) that characterize the statistics of an unbiased frequentist estimator for the power spectrum; and hybrid codes that can be aplied to both low and high-.  ... 
arXiv:0912.4059v2 fatcat:rioxqzc6ojdmnbqxbkikghmz3q

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
Identification for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J  ...  ., and Saad, W., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua,  ...  ., +, TWC Oct. 2020 6737-6751 Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges

Anthony Ngozichukwuka Uwaechia, Nor Muzlifah Mahyuddin
2020 IEEE Access  
Fourth, we track evolution and advancements in hybrid beamforming for massive MIMO systems in terms of system models of hybrid precoding architectures, hybrid analog and digital precoding/combining matrices  ...  To tackle these challenges, we first provide a survey of existing solutions and standards and discuss the radio-frequency (RF) spectrum and regulatory issues for mmWave communications.  ...  sampling of the angular power spectrum, and frequency-dependent path loss models [1] , [161] .  ... 
doi:10.1109/access.2020.2984204 fatcat:akymafkbcrevtejtgfywrkhcre

Advances in Machine Fault Diagnosis

Toomas Vaimann
2021 Applied Sciences  
The growing need for intelligent machines, the outreach for more efficient use of the machines in industry, and the development of Industry 4 [...]  ...  The benefits of analytical and numerical models for their speed and accuracy, respectively, can be exploited by making a hybrid model.  ...  Moreover, an algorithm to improve the spectrum legibility was proposed.  ... 
doi:10.3390/app11167348 fatcat:dh4d4abkwvfkxcwcskxfvy2fuq

Data Fusion Modeling for an RT3102 and Dewetron System Application in Hybrid Vehicle Stability Testing

Zhibin Miao, Hongtian Zhang
2015 Algorithms  
In this work, a two-stage Kalman algorithm method is used to fuse data in hybrid vehicle stability testing. First, the RT3102 navigation system and Dewetron system are introduced.  ...  More and more hybrid electric vehicles are driven since they offer such advantages as energy savings and better active safety performance.  ...  Acknowledgments The Department of Education of Heilongjiang and China Association for Science and Technology provided the financial support for this work.  ... 
doi:10.3390/a8030632 fatcat:smb6edf3rfe7ved3nxnh6j27r4

A survey on 5G massive MIMO localization

Fuxi Wen, Henk Wymeersch, Bile Peng, Wee Peng Tay, Hing Cheung So, Diange Yang
2019 Digital signal processing (Print)  
In order to perform massive MIMO localization, refined channel estimation routines and localization methods have been developed. This paper provides a brief overview of this emerging field.  ...  Angular signal density and angular power density are two widely used models to describe the properties of the distributed sources [19] .  ...  Tensor-AOA and AOD estimation for hybrid point and distributed sources.  ... 
doi:10.1016/j.dsp.2019.05.005 fatcat:mcp5vuiqvvel3bf6gzuz2ashta

A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data

Şahan Yoruç Selçuk, Perin Ünal, Özlem Albayrak, Moez Jomâa
2021 Information  
, and classification model training, to classify faulty and healthy vibration data for state estimation.  ...  For several of the classification algorithms, the accuracy result for the classification of healthy and faulty data achieved on the public dataset reached approximately 86%, and on the synthetic data,  ...  Acknowledgments: The authors thank TEKNOPAR for its administrative and technical support. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info12100386 fatcat:oelbsgh3rber5mv2t36yg3olfy
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