首页> 外文期刊>Consumer Electronics, IEEE Transactions on >A low complexity soft-output detection algorithm for 2??2 multiple-input multiple-output multiband-ofdm systems using dual carrier modulation
【24h】

A low complexity soft-output detection algorithm for 2??2 multiple-input multiple-output multiband-ofdm systems using dual carrier modulation

机译:使用双载波调制的2 ?? 2多输入多输出多带OFDM系统的低复杂度软输出检测算法

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a low complexity soft-output detection algorithm for 2??2 multiple-input multiple-output (MIMO) multiband-orthogonal frequency division multiplexing (MB-OFDM) systems using dual carrier modulation (DCM) or modified DCM (MDCM). By detecting each symbol pair of DCM or MDCM separately, the proposed detection algorithm reduces the complexity of the partial Euclidean distance (PED) calculation and the preprocessing complexity, which is the complexity of QR decomposition and channel ordering. This paper also proposes an efficient candidate list extension method for soft-output MIMO detection by using the calculated PEDs. Because the proposed algorithm has a low complexity and can also be implemented in a fully-pipelined hardware, the proposed algorithm is suitable for MB-OFDM systems requiring high speed hardware. The simulation results of applying the proposed algorithm to 2??2 MIMO MB-OFDM systems using DCM or MDCM show that the performance of the proposed algorithm has near soft-output maximum likelihood detection performance. The hardware complexity of the proposed algorithm is approximately 40% of that of the existing algorithm with similar performance.
机译:本文提出了一种低复杂度的软输出检测算法,该算法使用双载波调制(DCM)或修改后的DCM(MDCM),用于2 ?? 2多输入多输出(MIMO)多频带正交频分复用(MB-OFDM)系统。通过分别检测DCM或MDCM的每个符号对,所提出的检测算法降低了部分欧几里得距离(PED)计算的复杂度和预处理复杂度,即QR分解和通道排序的复杂度。本文还提出了一种有效的候选列表扩展方法,通过使用计算出的PED进行软输出MIMO检测。因为所提出的算法具有较低的复杂度并且也可以在全流水线硬件中实现,所以所提出的算法适合于需要高速硬件的MB-OFDM系统。将所提算法应用于采用DCM或MDCM的2×2 MIMO MB-OFDM系统的仿真结果表明,所提算法的性能接近于软输出最大似然检测性能。所提出算法的硬件复杂度约为性能相似的现有算法的硬件复杂度的40%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号