Turbo TAST译码的降维方法研究
doi: 10.3724/SP.J.1146.2005.01642
Dimension Reduction Methods of Turbo TAST Decoding
-
摘要: Turbo TAST译码的主要问题是降低其维数。该文研究了几种方法：零空间法、投影法、Thread分解法、SISO法。不同的方法导致其性能差异非常大。零空间法降维不适合TAST码。在所有的次优方法中，MMSE均衡转化为SISO子系统，在复杂度和性能之间取得了最好的平衡。推导了几种方法的链路级信道容量，该容量大小与实际性能之间呈一一对应关系。Abstract: The main problem of decoding Turbo TAST code is to reduce its dimension. Performance of different reduction methods varies greatly. Null space method is no longer valid for TAST code. Reduction to single input single output with MMSE equalization achieves a good balance between the performance and computational complexity. Link level capacity is deduced for these methods, and it agrees well with the results of simulation.
-
Gamal H G and Damen O. Universal space-time coding[J].IEEE Trans. on Information Theory.2003, 49(5):1097-1119[2]Hochwald B M and Brink S. Achieving near-capacity on a multiple-antenna channel. IEEE Trans. on Communications, 2003, 3(3): 389-399.[3]Damen O, Abed-Meraim K, and Belfiore J. Diagonal algebraic space-time block codes[J].IEEE Trans. on Information Theory.2002, 48(3):628-636[4]Caire G, Taricco G, and Biglieri E. Bit-interleaved coded modulation[J].IEEE Trans. on Information Theory.1998, 44(5):927-946[5]Stefanov A and Duman T M. Turbo-coded modulation for systems with transmit and receive antenna diversity over block fading channels: system model, decoding approaches, and practical considerations[J].IEEE J. Sel. Areas Communi.2001, 19(5):958-968[6]Mckay M R and Collings I B. Capacity and performance of MIMO-BICM with zero-forcing receivers[J].IEEE Trans. on Communication.2005, 53(1):74-83 -
计量
- 文章访问数: 3174
- HTML全文浏览量: 96
- PDF下载量: 758
- 被引次数: 0
下载:
