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A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems

Author
DIE HU1 ; XIAODONG WANG2 3 ; LIANGHUA HE4
[1] Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China
[2] Department of Electrical Engineering, Columbia University, New York, NY 10027, United States
[3] King Abdulaziz University, Jeddah, Saudi Arabia
[4] Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
Source

IEEE transactions on vehicular technology. 2013, Vol 62, Num 9, pp 4648-4653, 6 p ; ref : 12 ref

CODEN
ITVTAB
ISSN
0018-9545
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Channel estimation compressive sensing (CS) orthogonal frequency-division multiplexing (OFDM) time-varying channels
Keyword (fr)
Algorithme Canal variant dans temps Complexité calcul Estimation canal Estimation paramètre Etude comparative Evaluation performance Facteur efficacité Gain Modèle dynamique Multiplexage fréquence orthogonal Méthode adaptative Méthode itérative Méthode paramétrique Méthode élément frontière Poursuite adaptative Poursuite cible Simulation système Système paramètre variable Temps retard Variation temporelle Echantillonnage parcimonieux
Keyword (en)
Algorithm Time variable channel Computational complexity Channel estimation Parameter estimation Comparative study Performance evaluation Effectiveness factor Gain Dynamic model Orthogonal frequency division multiplexing Adaptive method Iterative method Parametric method Boundary element method Matching pursuit Target tracking System simulation Time varying system Delay time Time variation Compressed sensing
Keyword (es)
Algoritmo Canal variable con el tiempo Complejidad computación Estimación canal Estimación parámetro Estudio comparativo Evaluación prestación Factor de eficacia Ganancia Modelo dinámico Multiplaje frecuencia ortogonal Método adaptativo Método iterativo Método paramétrico Método elemento frontera Persecusión adaptativa Simulación sistema Sistema parámetro variable Tiempo retardo Variación temporal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04C Sampling, quantization

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04G Multiplexing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04B Telecommunications / 001D04B02 Systems, networks and services of telecommunications / 001D04B02G Transmission and modulation (techniques and equipments)

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
27975355

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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