MIMO OFDM系统中的Turbo子载波均衡

刘占利; 赵春明; 王静; 孟庆民

doi:10.3724/SP.J.1146.2005.00552

MIMO OFDM系统中的Turbo子载波均衡

doi: 10.3724/SP.J.1146.2005.00552

基金项目:

国家自然科学基金重大项目(60496311)资助课题

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出版历程
- 收稿日期: 2005-05-16
- 修回日期: 2005-11-26
- 刊出日期: 2007-01-19

Turbo Per-tone Equalization for MIMO OFDM Systems

摘要

摘要: 在MIMO OFDM系统中，为了对抗同天线干扰及由于保护间隔不足而引起的码间干扰和载波间干扰，该文给出了一种基于MMSE的Turbo子载波均衡器。在该算法中，软输入软输出(SISO)的子载波均衡器与软输入软输出(SISO)解码器通过迭代进行软信息交换。仿真结果表明，与非迭代的子载波均衡器相比，该文给出的Turbo子载波均衡器能够有效利用时间和空间分集，使系统性能得到了改善。
- OFDM;MIMO;Turbo子载波均衡;软输入软输出
Abstract: To handle co-antenna interference, intersymbol interference (ISI) and intercarrier interference (ICI) caused by insufficient cyclic prefix, a MMSE-based Turbo per-tone equalization is presented for MIMO OFDM systems in this paper. A Soft-Input Soft-Out (SISO) per-tone equalizer exchanges soft information with SISO channel decoder through iterative process. Simulation results show that the proposed Turbo per-tone equalizers can effectively exploit time diversity and space diversity and offer performance gain over non-iterative equalizers.

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参考文献(1)

[1] Telatar I. Capacity of multiple antenna Gaussian channels. ATT Tech. Memo, NJ, June 1995. [2] Foschini G and Gans M. On limits of wireless communications in fading environment when using multiple antennas. Wireless Personnal Communications. 1998, 6(3): 311-335. [3] Al-Dhahir N. FIR channel-shortening equalizers for MIMO ISI channels[J].IEEE Trans. on Communications.2001, 49(2):213-218 [4] Barbarossa S, Scutari G, and Swami A. MUI-free CDMA systems incorporating space-time coding and channel shortening. ICASSP-2002, Orlando, Florida, USA, May 2002, 3: 2213-2216. [5] Acker K V, Leus G, and Moonen M, et al.. Per Tone Equalization for DMT-Based Systems[J].IEEE Trans. on Communications.2001, 49(1):109-119 [6] Leus G and Moonen M. Per-Tone Equalization for MIMO- OFDM Systems[J].IEEE Transactions on Signal Processing.2003, 51(11):2965-2975 [7] Wang X and Poor H V. Iterative (turbo) soft interference cancellation and decoding for coded CDMA[J].IEEE Trans. on Communications.1999, 47(7):1046-1061 [8] Douillard C, Jzquel M, and Berrou C, et al.. Iterative correction of intersymbol interference: turbo equalization[J].European Trans. on Telecommun.1995, 6(5):507-511 [9] Tchler M, Singer A, and Koetter R. Minimum mean squared error equalization using a priori information[J].IEEE Trans. on Signal Processing.2002, 50(3):673-683 [10] Tchler M, Koetter R, and Singer A. Turbo equalization: Principles and new results[J].IEEE Transactions on Communications.2002, 50(5):754-767 [11] Vanhaule H and Moonen M. Turbo per tone equalization for ADSL systems, ICC-2004, Paris, France, June 2004,1:6-10. [12] Wautelet X, Dejonghe A, and Vandendorpe L. MMSE-based fractional turbo receiver for space-time BICM over frequency-selective MIMO fading channels[J].IEEE Trans. on Signal Processing.2004, 52(6):1804-1809 [13] Barry J R, Kav I A, and McLaughlin S W, et al.. Iterative timing recovery. IEEE Signal Processing Magazine, 2004, 21(1): 89-102. [14] Bahl L R, Cocke J, and Jelinek F. Optimal decoding of linear codes for minimizing symbol error rate. IEEE Trans. on Inform. Theory, 1974, 20(3): 284-287.

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