分布式MIMO的Turbo檢測算法

沈瑩; 唐友喜; 孔婷

分布式MIMO的Turbo檢測算法

計量
- 文章訪問數: 2205
- HTML全文瀏覽量: 83
- PDF下載量: 819
- 被引次數: 0
出版歷程
- 收稿日期: 2005-03-28
- 修回日期: 2005-12-12
- 刊出日期: 2006-12-19

Turbo Detection Scheme for Distributed MIMO

摘要

摘要: 當信道碼為卷積碼時，針對V-BLAST類空時碼的分布式MIMO，該文提出了兩種迭代檢測算法：最大似然迭代接收機及一種低復雜度的迭代檢測接收機。最大似然迭代檢測接收機的復雜度為O(2MTSlogM)，低復雜度的迭代檢測接收機的復雜度為 O(M2TM2RS2M) 。在準靜態(tài)、單徑瑞利衰落信道中，對低復雜度的迭代檢測接收機的誤碼率性能進行了計算機仿真驗證，與非迭代的迫零檢測相比，低復雜度的迭代檢測接收機節(jié)約比特信噪比約7.5dB；在相同的誤碼率下，迭代6次與迭代1次相比，可節(jié)約3dB的比特信噪比；隨著迭代次數的增加，迭代效果越來越小。
- 分布式多輸入多輸出; Turbo(迭代)檢測; 軟輸入軟輸出; 并行軟干擾抵消; 瞬時最小均方誤差濾波; 信道傳播時延
Abstract: In this paper, a iterative receiver is introduced for convolutionally coded distributed MIMO with V-BLAST architecture. A maximum-likelihood (ML) iterative detector and a low-complexity Turbo detection scheme are proposed. The computational complexity is O(2MTSlogM) and O(M2TM2RS2M) respectively. Simulation results in quasi-stationary, single-path Rayleigh fading channel demonstrate that the proposed low-complexity iterative detection algorithm offers significant performance improvement about 7.5dB at than the non-iterative zero-forcing detection. At same BER (Bit Error Rate), 1 iterations Eb/N0 is 3dB above 6 iterations. Performance improvement gradually declines as the number of iteration increases.

HTML全文

參考文獻(1)

Foschini G J, Gans M J. On the limits of wireless communications in a fading environment when using multiple antennas[J].Wireless Personal Communication.1998, 6(3):311-335[2]Telatar I E. Capacity of multi-antenna Gausian channel[J].Eur. Trans. Telecommun.1999, 10(6):585-595[3]Zhou Shidong, Zhao Ming, Xu Xibin, et al.. Distributed wireless communication system: A new architecture for future public wireless access. IEEE Communications Magazine, 2003, 41(3): 108-113.[4]Xia H, Herrera A B, Kim S, et al.. A CDMA-distributed antennasystem for in-building personal communications services[J].IEEE Journal on Selected Areas in Communications.1996, 14(4):644-650[5]Berrou C, Glavieux A. Near optimum error-correcting coding and decoding: Turbo codes[J].IEEE Trans. on Communications.1996, 44(10):1261-1271[6]Ariyavisitakul S L. Turbo space-time processing to improve wireless channel capacity[J].IEEE Trans. on Communications.2000, 48(8):1347-1359[7]Hochwald B M, Brink S T. Achieving near-capacity on a multiple-antennas channel. IEEE Trans. on Communica- tions, 2003, 51(3): 398-299.[8]Boutros J J, Boixadera F, Lamy C. Bit-interleaved coded modulations for multiple-input multiple-output channels. 2000 IEEE Sixth International Symposium on Spread Spectrum Techniques and Applications, Parsippany, NJ 2000, 1: 123-126.[9]Wolniansky W, Foschini G J, Golder G D, et al.. V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. 1998 URSI International Symposium on Signals, Systems, and Electronics, Pisa 1998: 295-300.[10]Sellathurai M, Haykin S. TURBO-BLAST for wireless communications: Theory and experiments[J].IEEE Trans. on Signal Processing.2002, 50(10):2538-2546[11]Bahl L R, Cocke J, Jelinek F, et al.. Optimal decoding of linear codes for minimizing symbol error rate. IEEE Trans. on Information Theory, 1974, 20(2): 284-287.[12]張賢達. 矩陣分析與應用. 北京: 清華大學出版社, 2004: 68-69.[13]Poor H V, Verdu S. Probability of error in MMSE multiuser detection[J].IEEE Trans. on Information Theory.1997, 43(3):858-871

施引文獻

資源附件(0)

訪問統(tǒng)計