A low-complexity semi-blind joint CFO and data estimation algorithm for OFDM systems

Kilbom Lee, Sung Hyun Moon, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we propose a low-complexity semiblind joint carrier frequency offset (CFO) and data estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems. Given channel information, we first provide a new iterative algorithm which jointly estimates the CFO and data based on pilots by minimizing the mean square error between the received OFDM symbol and its regenerated signal. By using the matrix inversion lemma, the joint CFO and data estimator is divided into a CFO estimator and a data detector without loss of optimality, which significantly reduces the computational complexity. Also, we present a decision feedback strategy to select reliable data from previously detected data by adopting the probability metric which evaluates the reliability. Then, the simplified CFO estimator can utilize the selected reliable data as pilots in the next iteration step. Simulation results show that the simplified CFO estimator can achieve the average Cramer Rao bound in moderate and high signal to noise ratio (SNR) regions within a few iterations even for a small number of pilots with the help of the proposed decision feedback strategy.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
DOIs
Publication statusPublished - 2012 Aug 20
EventIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Yokohama, Japan
Duration: 2012 May 62012 Jun 9

Other

OtherIEEE 75th Vehicular Technology Conference, VTC Spring 2012
CountryJapan
CityYokohama
Period12/5/612/6/9

Fingerprint

Carrier Frequency Offset
Estimation Algorithms
Orthogonal Frequency Division multiplexing (OFDM)
Low Complexity
Orthogonal frequency division multiplexing
Feedback
Cramer-Rao bounds
Mean square error
Computational complexity
Signal to noise ratio
Decision Feedback
Estimator
Detectors
Probability Metrics
Cramér-Rao Bound
Iteration
Matrix Inversion
Iterative Algorithm
Lemma
Optimality

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

A low-complexity semi-blind joint CFO and data estimation algorithm for OFDM systems. / Lee, Kilbom; Moon, Sung Hyun; Lee, Inkyu.

IEEE Vehicular Technology Conference. 2012. 6239983.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, K, Moon, SH & Lee, I 2012, A low-complexity semi-blind joint CFO and data estimation algorithm for OFDM systems. in IEEE Vehicular Technology Conference., 6239983, IEEE 75th Vehicular Technology Conference, VTC Spring 2012, Yokohama, Japan, 12/5/6. https://doi.org/10.1109/VETECS.2012.6239983
Lee, Kilbom ; Moon, Sung Hyun ; Lee, Inkyu. / A low-complexity semi-blind joint CFO and data estimation algorithm for OFDM systems. IEEE Vehicular Technology Conference. 2012.
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