• Numerically stable and efficie...

Result: Numerically stable and efficient algorithm for vector channel parameter and frequency offset estimation

Title:
Numerically stable and efficient algorithm for vector channel parameter and frequency offset estimation
Authors:
CHONG HYUN LEE, JAE SANG CHA, KWAK, Kyungsup, JAE MOUNG KIM
Source:
The international conference on computational methods in sciences and engineering 2004Journal of computational and applied mathematics. 191(2):179-193
Publisher Information:
Amsterdam: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 16 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Méthodes mathématiques, Mathematical methods, Ajustement modèle, Model matching, Ajustamiento modelo, Calcul automatique, Computing, Cálculo automático, Décomposition valeur singulière, Singular value decomposition, Decomposición valor singular, Effet Doppler, Doppler effect, Efecto Doppler, Estimation erreur, Error estimation, Estimación error, Estimation paramètre, Parameter estimation, Estimación parámetro, Estimation statistique, Statistical estimation, Estimación estadística, Mathématiques appliquées, Applied mathematics, Matemáticas aplicadas, Méthode décomposition, Decomposition method, Método descomposición, Oscillateur, Oscillator, Oscilador, Performance algorithme, Algorithm performance, Resultado algoritmo, Simulation ordinateur, Computer simulation, Simulación computadora, Traitement signal, Signal processing, Procesamiento señal, Télécommunication, Telecommunication, Telecomunicación, Valeur propre, Eigenvalue, Valor propio, Valeur singulière, Singular value, Valor singular, Vecteur propre, Eigenvector, Vector propio, Algorithme Gauss Seidal, Gauss Seidal algorithm, Estimation canal vectorielle, Vector channel estimation, Satellite communication, Transmission singal, Signal transmission, 84.40.Ua Gauss-Seidal algorithm, Communication satellites, Eigen-decomposition, Signal transmission and processing, Telecommunications
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electronics, Seokyeong University Seoul, Korea, Republic of
Department of Media Technology, Seoul National University of Technology, Seoul, Korea, Republic of
UWB Wireless Communications Research Center (UWB-ITRC), Inha University, Korea, Republic of
Graduate School of Information Technology and Telecommunication, Inha University, Incheon, Korea, Republic of
ISSN:
0377-0427
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17689314
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
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
Notes:
Computer science; theoretical automation; systems

Telecommunications and information theory
Accession Number:
edscal.17689314
Database:
PASCAL Archive

Further Information

In this paper, we present a novel and numerically efficient algorithm for vector channel and calibration vector estimation, which works when frequency offset error caused by either unstable oscillator or Doppler effect is present in Spread Spectrum antenna system. We propose an estimation algorithm based on Gauss-Seidal algorithm rather than using eigen-decomposition or SVD in computing eigenvalues and eigenvectors at each iteration. The algorithm is based on the two-step procedures, one for estimating both channel and frequency offset and the other for estimating the unknown array gain and phase. Consequently, estimates of the DOAs, the multi-path impulse response of the reference signal source, and the carrier frequency offset as well as the calibration of antenna array are provided. The analytic performance improvement in multiplications number is presented. The performance of the proposed algorithm is investigated by means of computer simulations. Throughout the analytic and computer simulation, we show that the proposed algorithm reduces the number of multiplications by order of one.