Parallel Channel Equalizer for Mobile OFDM Baseband Receivers

Article Preview

Abstract:

Mobile OFDM refers to OFDM systems with fast moving transceivers, contrastive to traditional OFDM systems whose transceivers are stationary or with a low velocity. An efficient implementation of the channel equalization for mobile OFDM is presented in this paper. Based on the particular OFDM subcarrier allocations, the channel equalizer is split into separated sub-equalizers, enabling a concurrent implementation. This parallel equalizer is implemented on an FPGA platform. The experimental results show that without an efficient design, mobile OFDM leads to an unacceptable hardware cost. The proposed parallel equalizer for mobile OFDM can compensate for time-varying channels, in which a traditional OFDM receiver fails to operate, although the paid price is that the hardware resource is reasonably increased.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

640-645

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] C. Dick and F. Harris, FPGA implementation of an OFDM PHY, in Proc. Conf Signals, Systems and Computers Record of the Thirty-Seventh Asilomar Conf, vol. 1, 2003, p.905–909.

DOI: 10.1109/acssc.2003.1292045

Google Scholar

[2] Y. Tang, L. Qian, and Y. Wang, Optimized software implementation of a full-rate IEEE 802. 11a compliant digital baseband transmitter on a digital signal processor, " in Proc. IEEE GLOBECOM , 05, vol. 4, (2005).

DOI: 10.1109/glocom.2005.1578053

Google Scholar

[3] M. Abdelall, A. F. Shalash, and H. A. H. Fahmy, A reconfigurable baseband processor for wireless OFDM synchronization sub-system, in Proc. IEEE Int Circuits and Systems (ISCAS) Symp, 2011, p.2385–2388.

DOI: 10.1109/iscas.2011.5938083

Google Scholar

[4] A. Marwanto, M. A. Sarijari, N. Fisal, S. K. S. Yusof, and R. A. Rashid, Experimental study of OFDM implementation utilizing GNU radio and USRP-SDR, in Proc. IEEE 9th Malaysia Int Communications Conf., 2009, p.132–135.

DOI: 10.1109/micc.2009.5431480

Google Scholar

[5] P. Schniter, Low-complexity equalization of OFDM in doubly selective channels, IEEE T. Signal. Proces., vol. 52, no. 4, p.1002–1011, (2004).

DOI: 10.1109/tsp.2004.823503

Google Scholar

[6] Z. Tang, R. C. Cannizzaro, G. Leus, and P. Banelli, Pilot-assisted time-varying channel estimation for OFDM systems, IEEE T. Signal. Proces., vol. 55, no. 5, p.2226–2238, (2007).

DOI: 10.1109/tsp.2007.893198

Google Scholar

[7] L. Rugini, P. Banelli, and G. Leus, Simple equalization of time-varying channels for OFDM, IEEE Commun. Lett., vol. 9, no. 7, p.619–621, (2005).

DOI: 10.1109/lcomm.2005.1461683

Google Scholar

[8] T. Xu, H. Lu, Z. Tang, and R. van Leuken, "Memory and Computation Reduction for Least-Square Channel Estimation of Mobile OFDM Systems. In Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pages 3556–3559, Seoul, Korea, (2012).

DOI: 10.1109/iscas.2012.6271466

Google Scholar

[9] G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. Johns Hopkins Univ. Press, (1996).

Google Scholar

[10] E. -J. Im, Optimizing the perfomance of sparse matrix-vector multiplication, Ph.D. dissertation, University of California Berkeley, May (2000).

Google Scholar

[11] A. Takach, B. Bowyer, and T. Bollaert, C based hardware design for wireless applications, in Proc. of the conference on Design, Automation and Test in Europe, 2005, p.124–129.

DOI: 10.1109/date.2005.87

Google Scholar