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http://dx.doi.org/10.6109/jicce.2015.13.2.069

Analysis of Optimal Sounding Signal Design in OFDM Systems  

Jo, Junho (Spectrum Strategy Department, KT Corp.)
Oh, Janghoon (Department of Electronics and Computer Engineering, Hanyang University)
Choi, Seyeong (Department of Information & Communication Engineering, Wonkwang University)
Abstract
We focus on a sounding signal design for single-input single-output orthogonal frequency division multiplexing (SISO-OFDM) systems. We show that the frequency spectrum of an optimum sounding signal has a constant magnitude across the frequency band for the cases with or without Doppler effects. Simulation results show that the designed optimum sounding signal outperforms random sounding signals and that the performance of a maximal-length shift register sequence is indistinguishable from that of the optimum sounding signal.
Keywords
MMSE; OFDM; Pilot signal; Sounding signal;
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1 K. Rajawat and A. Chaturvedi, “Near optimal training sequences for low complexity symbol timing estimation in MIMO systems,” IEEE Transactions on Communications, vol. 58, no. 1, pp. 281-288, 2010.   DOI   ScienceOn
2 N. N. Tran, H. D. Tuan, and H. H. Nguyen, “Superimposed training designs for spatially correlated MIMO-OFDM systems,” IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 876-880, 2010.   DOI   ScienceOn
3 H. D. Tuan, H. H. Kha, H. H. Nguyen, and V. J. Luong, “Optimized training sequences for spatially correlated MIMO-OFDM,” IEEE Transactions on Wireless Communications, vol. 9, no. 9, pp. 2768-2778, 2010.   DOI   ScienceOn
4 J. Jo, "Channel sounding and signal design for wireless MIMO channels," Ph.D. dissertation, NYU Polytechnic School of Engineering, New York, USA, 2008.
5 A. R. Bahai, B. R. Saltzberg, and M. Ergen, Multi-Carrier Digital Communications: Theory and Application of OFDM. New York, NY: Kluwer Academic/Plenum, 1999.
6 B. Song, L. Gui, and W. Zhang, “Comb type pilot aided channel estimation in OFDM systems with transmit diversity,” IEEE Transactions on Broadcasting, vol. 52, no. 1, pp. 50-57, 2006.   DOI   ScienceOn
7 W. Zhang, X. G. Xia, and P. C. Ching, “Optimal training and pilot pattern design for OFDM systems in Rayleigh fading,” IEEE Transactions on Broadcasting, vol. 52, no. 4, pp. 505-514, 2006.   DOI   ScienceOn
8 M. Morelli and U. Mengali, “A comparison of pilot-aided channel estimation methods for OFDM systems,” IEEE Transactions on Signal Processing, vol. 49, no. 12, pp. 3065-3073, 2001.   DOI   ScienceOn
9 H. Minn and N. Al-Dhahir, “Optimal training signals for MIMO OFDM channel estimation,” IEEE Transactions on Wireless Communications, vol. 5, no. 5, pp. 1158-1168, 2006.   DOI   ScienceOn
10 J. H. Manton, “Optimal training sequences and pilot tones for OFDM systems,” IEEE Communications Letters, vol. 5, no. 4, pp. 151-153, 2001.   DOI   ScienceOn
11 I. Barhumi, G. Leus, and M. Moonen, “Optimal training design for MIMO OFDM systems in mobile wireless channels,” IEEE Transactions on Signal Processing, vol. 51, no. 6, pp. 1615-1624, 2003.   DOI   ScienceOn
12 T. E. Bogale and L. B. Le, “Pilot optimization and channel estimation for multiuser massive MIMO systems,” in Proceedings of the 48th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, 2014, pp. 1-6.
13 X. Cai and G. B. Giannakis, “Error probability minimizing pilots for OFDM with M-PSK modulation over Rayleigh-fading channels,” IEEE Transactions on Vehicular Technology, vol. 53, no. 1, pp. 146-155, 2004.   DOI   ScienceOn