Suchergebnisse - "Bayesian Cramer-Rao lower bound"
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1
Accuracy of Magnetic Field-Based Train Localization and the Impact of Unknown Calibration Parameters
Autoren:
Quelle: ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation. :2046-2055
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2
Autoren:
Quelle: IEEE Access, Vol 13, Pp 21096-21106 (2025)
Schlagwörter: Networked radar resource management, Bayesian Cramér-Rao lower bound (BCRLB), power allocation, air defense, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Relation: https://ieeexplore.ieee.org/document/10857279/; https://doaj.org/toc/2169-3536; https://doaj.org/article/6f3df351bebf4a2eac81e264c15b4214
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3
Autoren: et al.
Quelle: Leida xuebao, Vol 12, Iss 3, Pp 629-641 (2023)
Schlagwörter: netted phased array radar, threat assessment, bayesian cramer-rao lower bound (bcrlb), multi-target tracking (mtt), resource allocation, Electricity and magnetism, QC501-766
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2095-283X
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4
Autoren: et al.
Quelle: Leida xuebao, Vol 13, Iss 3, Pp 565-583 (2024)
Schlagwörter: radar resource allocation, multiple distributed radar networks, multitarget tracking, imperfect detection, bayesian cramér-rao lower bound (bcrlb), Electricity and magnetism, QC501-766
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5
Autoren:
Quelle: IEEE Transactions on Signal Processing. 66(10)
Schlagwörter: Information and Computing Sciences, Communications Engineering, Engineering, Computer Vision and Multimedia Computation, Ambiguity function, analog-digital conversion, Bayesian Cramer-Rao lower bound, parameter estimation, compressive sensing, delay-Doppler shift, Fisher information, sub-Nyquist sampling, transceiver optimization, waveform design, cs.IT, math.IT, G.3, Networking & Telecommunications
Dateibeschreibung: application/pdf
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6
Autoren:
Schlagwörter: Information and Computing Sciences, Communications Engineering, Engineering, Bayesian Cramer-Rao lower bound, compressive sensing, delay-Doppler estimation, signal optimization, sub-Nyquist sampling, waveform design, cs.IT, math.IT, C.3, G.3
Dateibeschreibung: application/pdf
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7
Autoren: et al.
Weitere Verfasser: et al.
Quelle: ISSN: 0165-1684.
Schlagwörter: Bayesian Cramér-Rao lower bound, Wishart random matrices, Multivariate multifractal analysis, [INFO]Computer Science [cs]
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8
Autoren: et al.
Quelle: Remote Sensing, Vol 15, Iss 13, p 3386 (2023)
Schlagwörter: collaborative trajectory planning and resource allocation (CTPRA), multi-target tracking (MTT), airborne radar networks, Bayesian Cramér–Rao lower bound (BCRLB), spectral coexistence, Science
Relation: https://www.mdpi.com/2072-4292/15/13/3386; https://doaj.org/toc/2072-4292; https://doaj.org/article/b8b3d28770694e449b9df404559b3b87
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9
Autoren:
Quelle: IEEE Access, 10, 123080–123093 ; ISSN: 2169-3536
Schlagwörter: Bayesian Cramér-Rao lower bound, finger-printing, Gaussian process, indoor localization, magnetic field-based localization, particle filter, ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004
Dateibeschreibung: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/wos/000892887400001; info:eu-repo/semantics/altIdentifier/issn/2169-3536; https://publikationen.bibliothek.kit.edu/1000154188; https://publikationen.bibliothek.kit.edu/1000154188/149916208; https://doi.org/10.5445/IR/1000154188
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10
Autoren:
Quelle: IET Radar, Sonar & Navigation, Vol 16, Iss 7, Pp 1212-1224 (2022)
Schlagwörter: air defence, Bayesian Cramér–Rao lower bound (BCRLB), fuzzy logic, networked radar resource management, sensor management, threat assessment, Telecommunication, TK5101-6720
Relation: https://doi.org/10.1049/rsn2.12255; https://doaj.org/toc/1751-8784; https://doaj.org/toc/1751-8792; https://doaj.org/article/db3c772eaa22451388a807bab21ef432
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11
Autoren: et al.
Quelle: Sensors, Vol 22, Iss 4667, p 4667 (2022)
Schlagwörter: Bayesian Cramér-Rao lower bound (BCRLB), two-adjacent-states dependent (TASD) measurements, autocorrelated noises, cross-correlated noises, prediction, smoothing, Chemical technology, TP1-1185
Relation: https://www.mdpi.com/1424-8220/22/13/4667; https://doaj.org/toc/1424-8220; https://doaj.org/article/304ca6d63f8040c3867261bd0c68fe9f
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12
Autoren:
Quelle: Remote Sensing, Vol 14, Iss 3920, p 3920 (2022)
Schlagwörter: distributed sensor network, Bayesian Cramer–Rao lower bound (BCRLB), configuration calibration, parameter identifiability, Jacobian matrix, Science
Relation: https://www.mdpi.com/2072-4292/14/16/3920; https://doaj.org/toc/2072-4292; https://doaj.org/article/3bc2d652db174c739f14d7a492a55206
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13
Autoren:
Quelle: IEEE Access, Vol 10, Pp 123080-123093 (2022)
Schlagwörter: Bayesian Cramér-Rao lower bound, finger-printing, Gaussian process, indoor localization, magnetic field-based localization, particle filter, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Relation: https://ieeexplore.ieee.org/document/9957005/; https://doaj.org/toc/2169-3536; https://doaj.org/article/77753935734549fca787c8a6e73380f3
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14
Antenna Array Aperture Resource Management of Opportunistic Array Radar for Multiple Target Tracking
Autoren: et al.
Quelle: IEEE Access, Vol 8, Pp 228357-228368 (2020)
Schlagwörter: Antenna array aperture resource management, Bayesian Cramér-Rao lower bound (BCRLB), chance-constraint programming (CCP), opportunistic array radar (OAR), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Relation: https://ieeexplore.ieee.org/document/9293276/; https://doaj.org/toc/2169-3536; https://doaj.org/article/975d5056806340f79862e352111ebb6c
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15
Autoren: et al.
Quelle: Sensors, Vol 20, Iss 5, p 1269 (2020)
Schlagwörter: low probability of intercept (lpi), bayesian cramer–rao lower bound (bcrlb), multi-target tracking, radar network, Chemical technology, TP1-1185
Relation: https://www.mdpi.com/1424-8220/20/5/1269; https://doaj.org/toc/1424-8220; https://doaj.org/article/b1f3b2444b8946d7acb36a3768f6fb2f
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16
Autoren:
Quelle: Leida xuebao, Vol 6, Iss 6, Pp 602-610 (2017)
Schlagwörter: Bayesian Cramer-Rao Lower Bound (BCRLB), Optimization problem, Joint resource allocation strategy, Multiple targets tracking, Electricity and magnetism, QC501-766
Dateibeschreibung: electronic resource
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17
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Airborne radar, Bayesian Cramér-Rao lower bound, maneuvering resource allocation, Optimization, proximal alternating direction method of multiplier, Radar, Radar tracking, Resource management, Target tracking, Trajectory
Dateibeschreibung: ELETTRONICO
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000986544300001; volume:71; firstpage:1563; lastpage:1573; numberofpages:11; journal:IEEE TRANSACTIONS ON SIGNAL PROCESSING; https://hdl.handle.net/11568/1176830; https://ieeexplore.ieee.org/document/10100910
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18
Autoren:
Schlagwörter: Frequency estimation, Intelligent systems, Light emitting diodes, Mean square error, Monte Carlo methods, Radio waves, Visible light communication, Bayesian, Bayesian crame-rao low bound, Crame-Rao lower bounds, Cramer Rao lower bound, Least Square, Lightemitting diode, Linear minimum mean square errors, Ma ximum likelihoods, Maximum posteriori probability, Maximum-likelihood, linear minimum mean square error, Errors, Maximum-likelihood estimation, Mean-square-error methods, channel estimation, Bayesian Cramér-Rao lower bound, maximum likelihood, Maximum likelihood estimation, Mean square error methods, Modulation, Radio frequency, signal dependent shot noise, Posteriori probability
Relation: IEEE Transactions on Vehicular Technology; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.13091/4427; https://doi.org/10.1109/TVT.2023.3282779; 11; WOS:001142619500041; Q1
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19
Autoren:
Schlagwörter: maximum likelihood (ML), maximum posteriori probability (MAP), visible light communication (VLC), Performance, Ofdm, channel estimation, Bayesian Cramer-Rao lower bound (BCRLB), least square (LS), linear minimum mean square error (LMMSE)
Relation: IEEE Canadian Journal of Electrical And Computer Engineering; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.13091/4825; https://doi.org/10.1109/ICJECE.2023.3293031; WOS:001085487700001; Q3
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20
Autoren:
Weitere Verfasser:
Quelle: IEEE Transactions on Signal Processing. 55:834-845
Schlagwörter: Phase unwrapping, Phase, Cramer-Rao lower bound (CRLB)/Bayesian Cramer-Rao lower bound (BCRLB), 4. Education, Maximum a posteriori probability (MAP)/maximum likelihood (ML) estimation, 0202 electrical engineering, electronic engineering, information engineering, Frequency, 02 engineering and technology, Phase noise model
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