Blind Recursive Tracking of Carrier Frequency Offset (CFO) Vector in MC-CDMA Systems

A recursive algorithm for estimating and updating the effective carrier frequency offset (CFO) vector in a multicarrier code-division multiple-access (MC-CDMA) system is proposed in this work. The recursive relation is derived based on the expectation maximization (EM) algorithm with a quadratic con...

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Vydané v:IEEE transactions on wireless communications Ročník 6; číslo 4; s. 1246 - 1255
Hlavní autori: Chien, F.-T., Kuo, C.-C.J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway, NJ IEEE 01.04.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Applied sciences
Carrier frequencies
Computer simulation
Estimates
Estimation theory
Exact sciences and technology
Frequency estimation
Interference constraints
Mathematical analysis
Maximization
Multiaccess communication
Multicarrier code division multiple access
Multiple access interference
Offsets
Recursive
Recursive estimation
Statistics
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Training data
Transmission and modulation (techniques and equipments)
Vectors
Vectors (mathematics)
Second order
Wireless telecommunication
Updating
Code division multiple access (CDMA)
Learning
quadratic constraint
carrier frequency offset (CFO)
Linear estimation
Multiple access
Target tracking
Computer simulation
Multicarrier
Estimation theory
recursive EM algorithm
Order statistic
Covariance matrix
Recursive algorithm
Statistical method
Signal interference
Carrier frequency
Code division multiple access
Linear theory
Recursive method
multicarrier CDMA
Frequency offset
EM algorithm
ISSN:1536-1276, 1558-2248
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Popis
Shrnutí:A recursive algorithm for estimating and updating the effective carrier frequency offset (CFO) vector in a multicarrier code-division multiple-access (MC-CDMA) system is proposed in this work. The recursive relation is derived based on the expectation maximization (EM) algorithm with a quadratic constraint. This new approach enables the use of linear estimation theory to tackle the CFO estimation problem with or without training data, which leads to an analytic CFO estimate in closed form. Furthermore, the multiple access interference (MAI) is mitigated using the second order statistics of the interference-plus-noise vector, which is updated in a recursive manner under the EM formulation, too. When reaching a converged estimate, a fixed-norm quadratic constraint is imposed so that the final CFO estimate is robust to an imprecise covariance matrix estimate caused by insufficient data samples. It is demonstrated by computer simulation that the performance of an MC-CDMA system without the CFO information can be restored by the proposed scheme in the sense that its bit error probability (BEP) performance is close to that with perfect CFO knowledge
Bibliografia:ObjectType-Article-2
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2007.348321