A Low-Complexity Integer Frequency Offset Estimation Scheme Using Combined Training Symbols for OFDM Systems
Y. Lee, Samsung Electronics ; S.R. Lee, Department of Information and Electronics Engineering ; S. Yoo, Department of Electronics Engineering ; H. Liu, School of Electrical Engineering and Computer Science, United States ; S. Yoon, College of Infomation and Communication Engineering
Journal of Applied Research and Technology Volume 12, Number 6, ISSN 1665-6423 Publisher: Elsevier Ltd
In orthogonal frequency division multiplexing (OFDM) systems, an integer part of a frequency offset (IFO) that causes ambiguity in data demodulation is estimated generally by comparing correlations between the received and local signals for IFO candidates. In this paper, we propose an IFO estimation scheme that provides a tradeoff between the estimation performance and the computational complexity including a conventional scheme as a special case. In the proposed scheme, template signals are formed by combining frequency-shifted training symbols, allowing the receiver to reduce the number of IFO candidates in the estimation process. Numerical results illustrate the tradeoff of the proposed scheme: The proposed scheme exhibits a tradeoff between the correct estimation probability and the computational complexity taking the number of the training symbols used to construct the template signal as a parameter.
Lee, Y., Lee, S.R., Yoo, S., Liu, H. & Yoon, S. (2014). A Low-Complexity Integer Frequency Offset Estimation Scheme Using Combined Training Symbols for OFDM Systems. Journal of Applied Research and Technology, 12(6), 1073-1082. Elsevier Ltd.