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基于可配置型K-Best的MIMO信号检测器 被引量：7

MIMO Signal Detector Based on Reconfigurable K-Best
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摘要 为减少高速通信系统中硬件资源的消耗,设计一种应用于MIMO-OFDM无线通信系统中的高速信号检测器,根据可重构设计的需求,提出一种简化K-BEST(SKB)MIMO信号检测算法,介绍可配置型硬件结构,并采用Xilinx Vertex-4 FPGA平台加以实现。仿真实验结果表明,该检测器的最高数据吞吐率可达2 Gb/s,并能针对不同星座调制信号(如QPSK,16-QAM)进行检测。 In order to reduce the hardware consumption in high speed communication system,a high speed Multi-Input and Multi-Output（MIMO） signal detector applied for MIMO-OFDM wireless communication system is presented.According to the the requirement of reconfigurable design,a Simplified K-Best（SKB） algorithm as well as a reconfigurable structure for MIMO signal detector is proposed.The MIMO signal detector is implemented on Xilinx Vertex-4 FPGA platform.Simulation experimental results show the throughput of this detector achieves 2 Gb/s and has the function of demodulating different modulation such as QPSK and 16-QAM.
作者 马小晶 刘亮 叶凡 任俊彦
机构地区 复旦大学专用集成电路与系统国家重点实验室
出处 《计算机工程》 CAS CSCD 北大核心 2009年第24期236-238,共3页 Computer Engineering
基金 上海市科委集成电路设计专项课题基金资助项目"超宽带物理层数字基带技术开发及SOC实现方法"(077062005)
关键词 OFDM技术 MIMO信号检测器 可重构结构 OFDM MIMO signal detector reconfigurable structure
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献4

  • 1Wenk M, Zellweger M. K-Best MIMO Detecting VLSI Architectures Achieving up to 424Mbps[C]//Proc. of the IEEE Int'l Syrup. on Circuits and Systems.[S. l.]: IEEE Press, 2006.
  • 2Zhao Wanlun, Giarmakis G B. Reduced Complexity Closest Point Decoding Algorithms for Random Lattices[J]. IEEE Transactions on Wireless Communications, 2006, 5(1): 101-111.
  • 3Burg A, Borgmann M, Wenk M, et al. VLSI Implementation of M1MO Detection Using the Sphere Decoding Algorithm[J]. IEEE Journal of Solid-State Circuits, 2005, 40(7): 1566-1577.
  • 4Barbero L G. Rapid Prototyping of a Fixed-throughput Sphere Decoder for MIMO Systems[C]//Proc. of the IEEE International Conference on Communications. [S. l.]: IEEE Press, 2006.

同被引文献58

  • 1Zhou Shidong, Zhao Ming, Xu Xibin, et al. Distributed Wireless Communication System: A New Architecture for Future Public Wireless Access[J]. IEEE Communication Magazine, 2003, 41(3): 108-113.
  • 2Han Shuangfeng, Zhou Shidong, Wang Jing, et al. Suboptimal Transmission of Orthogonal Space-time Block Codes over Correlated Distributed Antennas[J]. Signal Processing Letters, 2007, 14(2): 89-92.
  • 3Dai Huaiyu, Zhang Hongyuan, Zhou Quan. Some Analysis in Distributed MIM0 Systems[J]. Journal of Communication, 2007, 24(3): 43-50.
  • 4Vishwanath S, Jindal N, Goldsmith A. Duality, Achievable Rates, and Sum-rate Capacity of Gaussian MIMO Broadcast Channels[J]. IEEE Trans. on Information Theory, 2003, 49(10): 2658-2668.
  • 5Lee J, Jindal N. Symmetric Capacity of MIMO Downlink Channels[C]//Proc. of IEEE International Symposium Information Theory. Seattle, USA: IEEE Press, 2006.
  • 6Chiani M, Win M Z, Zanella A. On the Capacity of Spatially Correlated MIMO Rayleigh-fading Channels[J]. IEEE Trans. on Information Theory, 2003, 49(10): 2363-2371.
  • 7Wang Peng, Wang Hao, et al. On Cellular Capacity with Base Station Cooperation[C]//Proc. of 2008 IEEE Global Communication Conference. New Orleans, USA: IEEE Press, 2008.
  • 8Zhan Guo, Nilsson P. Algorithm and Implementation of the K-best Sphere Decoding for MIMO Detection[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(3): 491-503.
  • 9Kim Tae-Hwan, Park In-Cheol. Small-area and Low-energy K-best MIMO Detector Using Relaxed Tree Expansion and Early Forwarding[J]. IEEE Transactions on Circuits and Systems, 2010, 57(10): 1-9.
  • 10Liu Liang, Ye Fan, Ma Xiaojing, et al. A 1.1 Gb/s 114 pJ/bit Configurable MIMO Detector Using 0.13 μm CMOS Technolo- gy[J]. IEEE Transactions on Circuits and Systems, 2010, 57(9): 701-705.

引证文献7

二级引证文献3

计算机工程
2009年 第24期

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