An efficient frequency offset estimator for OFDM systems and its performance characteristics.pdf

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 50, NO. 5, SEPTEMBER 2001 1307 [9] W. C. Y. Lee, “Overview of cellular CDMA,” IEEE Trans. Veh. Technol., vol. 40, pp. 291–302, May 1991. [10] R. L. Pickholtz, L. B. Milstein, and D. L. Schilling, “Spread spectrum for mobile communications,” IEEE Trans. Veh. Tchnol., vol. 40, pp. 313–321, May 1991. [11] J. G. Proakis, Digital Communications, 3rd ed. New York: McGraw- Hill, 1995, ch. 5. [12] Personal Handy Phone System. [13] K. S. Gilhousen, I. M. Jacobs, R. Padovani, A. J. Vitterbi, L. A. Waever, and C. E. Wheatly, “On the capacity of a cellular CDMA system,” IEEE Trans. Veh. Technol., vol. 40, pp. 303–331, May 1991. [14] Guidelines for Evaluation of Radio Transmission Technologies for IMT- 2000/FPLMTS, June 1996. [15] J. Mitola, “The software radio architecture,” IEEE Commun. Mag., vol. 33, pp. 26–38, May 1995. [16] J. Mitola et al., “Globalization of software radio,” IEEE Commun. Mag., vol. 37, pp. 82–123, Feb. 1999. [17] M. Zorzi and S. Pupolin, “Slotted ALOHA for high-capacity voice cellular communications,” IEEE Trans. Veh. Technol., vol. 43, pp. 1011–1021, Nov. 1994. [18] A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd ed. New York: McGraw-Hill, 1991, ch. 6. [19] , Probability, Random Variables, and Stochastic Processes, 3rd ed. New York: McGraw-Hill, 1991, ch. 5. An Efficient Frequency Offset Estimator for OFDM Systems and Its Performance Characteristics Yun Hee Kim, Iickho Song, Seokho Yoon, and So Ryoung Park Abstract—In this paper, we propose a new frequency synchronization algorithm for orthogonal frequency division multiplexing (OFDM) systems requiring only one training symbol, based on a conventional method which requires two training symbols. While the timing synchronization is obtained by using the conventional method, the carrier frequency offset is efficiently estimated by the proposed method. It is shown that the proposed method not only reduces the number of the training symb