期刊文献+

基于ONPC体系结构的软输出球形解码器的VLSI实现 被引量:1

VLSI Implementation of Soft-output Sphere Detector Based on ONPC Architecture
下载PDF
导出
摘要 由于球形检测算法的高计算复杂度,能提供软输出信息给后续纠错解码器的球形解码器的VLSI实现是一项挑战。提出了一种基于ONPC体系结构的深度优先搜索的软输出球形解码器的VLSI解决方案。对于采用4×4天线配置和64-QAM调制的MIMO系统,在17.7dB的信噪比下,所提出解决方案在0.13-μm CMOS工艺下能提供14Mbps的吞吐率,面积开销约为4.1mm2,并且BER性能优于幸存路径数为256的基于宽度优先搜索的K-best算法。 The efficient high-speed VISI implementations of sphere detector providing soft information for a subsequent error correcting decoder are not trivial due to their high computational complexity. Therefore, a VLSI solution for soft-output sphere detector based on depth-first tree search and ONPC architecture is presented. In a 0.13-μn CMOS process, the proposed detector solution can achieve 14 Mbps at a signal-to-noise ration of 17.7dB for 4 × 4 MIMO system with 64-QAM using only approximately 4.1mm^2, and realize a better BER performance than K-best algorithm with 256 survivor paths based on depth-first search.
作者 方兴 陈书明
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2008年第6期63-67,共5页 Journal of National University of Defense Technology
基金 国家"863"计划资助项目(2007AA01Z108)
关键词 多输入多输出 球形解码 空分复用 VLSI multiple-input multiple-output (MIMO) sphere detector spatial multiplexing VLSI
  • 相关文献

参考文献10

  • 1Hassibi B, Vikalo H. On the Sphere-decoding Algorithm Ⅰ. Expected Complexity[J]. IEEE Transactions Signal Processing, 2005, 53:2806 - 2818.
  • 2Widdup B, Woodwand G, Knagge G. A Highly-parallel VLSI Architecture for a List Sphere Detector[C]//Proceedings of the IEEE International Conference on Communications, 2004: 2720- 2725.
  • 3Burg A, et a;. VLSI Implementation of MIMO Detection Using the Sphere Decoding Algorithm[J]. IEEE Journal of Solid-state Circuits, 2005, 40 (7) : 1566- 1577.
  • 4Amiri K, Cavallaro J R. FPGA Implementation of Dynamic Threshold Sphere Detection for MIMO Systems[C]//Proc. 2006 Asilomar Conference on Signals, Systems and Computers,2006: 94-98.
  • 5Garrett D, et al. Silicon Complexity for Maximum Likelihood MIMO Detection Using Spherical Decoding[J]. IEEE Journal of Solid-state Circuits, 2004, 39: 1544- 1552.
  • 6Wong K, et al. A VLSI Architecture of a K-best Lattice Decoding Algorithm for MIMO Channels[ C ]//Proc. IEEE ISCAS'02, 2002, 3 : 273 - 276.
  • 7Guo Z, Nilsson P. VLSI Architecture of the Schnorr-euchneer Decoder for MIMO Systems[C]//Proc. IEEE CAS Symposium on Emerging Technologies, 2004: 65- 68.
  • 8Chen S, Zhang T, Xin Y. Relaxed K-best MIMO Signal Detector Design and VLSI Implementation[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2007, 15(3): 328-337.
  • 9Radosavljevic P, Cavallaro J R. Sift Sphere Detection with Bound Search for High-throughput MIMO Receivers[C]//Proc. 2006 Asilomar Conference on Signals, Systems and Computers, 2006:1175 - 1179.
  • 10Hochwald B M, Brink S T. Acbievlng Near-capacity on a Aultiple-antenna Channel[J]. IEEE Trans. Commun., 2003, 51(3): 389-399.

同被引文献4

  • 1NVIDIA Corporation, NVIDIA CUDA Programming Guide. [ Online] Available: http://developer.download.nvidia.com/ compute/cuda/l_l/NVIDIA_CUDA_Programming_Guide_1. 1. pdf.
  • 2M. Garland, S. Le Grand, J. Nickolls, J. Anderson, J. Hard- wick, S. Morton, E. Phillips, Y. Zhang, and V. Volkov, "Par- allel computing experiences with CUDA," vol. 28, no. 4, pp. 1327, July-Aug. 2008.
  • 3NVIDIA Corporation, "Applications using CUDA." [Online] . Available: http://www.nvidia.com/object/cuda_home.html#.
  • 4D. Luebke, "CUDA: Scalable parallel programming for high- performance scientific computing," in Proc. 5th IEEE Inter- national Symposium on Biomedical Imaging: From Nano to Macro 2008 (ISBI 2008) , pp. 836 838, May 2008.

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部