tjst

Turkish Journal of Science and Technology

1308-9080 1308-9099

Fırat University

Engineering

Mühendislik

LSE Channel Estimation and Performance Analysis of OFDM Systems

Kamışlıoğlu

Bircan

Akbal

Ayhan

10 01 2017

12 2 53 57 09 28 2017 04 11 2017

2009

Turkish Journal of Science and Technology

Orthogonal frequency division multiplex (OFDM) is one of the best approaches to overcome frequency selectivity of channels. In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, we purposed channel estimation with least squares (LS) estimation method in this paper. To improve channel estimation achievement a LS algorithm is developed, so we obtain Bit Error Rate (BER) performance of channel. Mean Square Error (MSE) of LS estimation calculated and depicted with figures. Signal to noise ratio (SNR) indicated notable efficacy in this paper that obtained by using the LS algorithm, in particular channels with variation in time.

Channel Estimation LSE MIMO System OFDM

1. Bölcskei, H., Gesbert, D., Paulraj, A. J., (2002). On the capacity of OFDMbased spatial multiplexing systems. IEEE Trans. Commun., 50, 225–234.

2. Cavers, J.K., (1991). An analysis of pilot symbol assisted modulation for Rayleigh fading channels. IEEE Trans. Veh. Technol., 40, 686–693.

3. Chang, M.X. Su, Y.T., (2002). Performance analysis of equalized OFDM system in Rayleigh fading. IEEE Trans. Wireless Commun., 1, 721–732.

4. Cheon, H., Hong, D., (2002). Effect of channel estimation error in OFDMbased WLAN. IEEE Commun. Lett., 6, 190–192.

5. Deneire, L., Vandenameele, P., Van der Perre, L., Gyselinckx, B., Engels, M., (2001). A low complexity ML channel estimator for OFDM. Proc. IEEE Int. Conf. Commun., Helsinki, Finland, 11–14.

6. Edfords, O., Sandell, M., Van de Beek, J.J., Wilson, S.K., Borjesson, P.O., (1998). OFDM channel estimation by singular value decomposition. IEEE Trans. Commun., 46, 931–939.

7. Van de Beek, J.J., Edfors, O., Sandell, M., Wilson, S. K., Brjesson, P. O., (1995). On channel estimation in OFDM systems. Proc. IEEE Vehic. Technol. Conf., 2, 815–819.

8. Jeon, W. G., Paik, K. H., Cho, Y. S., (2000). An efficient channel estimation technique for OFDM systems with transmitter diversity. Proc. IEEE Int. Symp. Pers., Indoor Mobile, 2, 1246–1250.

9. Li, Y., Seshadri, N., Ariyavisitakul, S., (1999). Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels. IEEE J. Select. Areas Commun., 17, 461–471.

10. Li, Y.G., Cimini, L.J., Sollenberger, N.R., (1998). Robust channel estimation for OFDM systems with rapid dispersive fading channels. IEEE Trans. Commun., 46, 902–915.

11. Ohno, S., Giannakis, G. B., (2001). Optimal training and redundant precoding for block transmissions with applications to wireless OFDM. Proc. IEEE ICASSP, Salt Lake City, UT, 2389–2392.

12. Veeranarayanareddy, C., Prabhakar, K., (2015). A Novel BER Analytical Performance of DWT based ofdm using various channel over dft based OFDM. International journal of engineering and computer science 4(9), 14313.

13. Le Floch, B., Alard, M., Berrou, C., (1995). Coded orthogonal frequency division multiplex. Proc. IEEE, 83(6), 982–996.

14. Beek, J.J., (1998). Channel Estimation in OFDM Systems. Lulea University of Technology,1402-1544.

15. Van de Beek, J.J., (1998). Synchronization and Channel Estimation in OFDM Systems. Lulea University of Technology, Division of Signal Processing. 051015202530352.533.544.555.566.57Number of NFFTPower of Channel ( dB) True ChannelLS-Estimate