首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >Design and VLSI Implementation of a Sorted MMSE QR Decomposition for 4 × 4 MIMO Detectors
【24h】

Design and VLSI Implementation of a Sorted MMSE QR Decomposition for 4 × 4 MIMO Detectors

机译:设计和VLSI对4×4 MIMO探测器进行分类MMSE QR分解的实现

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In this letter, a low latency, high throughput and hardware efficient sorted MMSE QR decomposition (MMSE-SQRD) for multipleinput multiple-output (MIMO) systems is presented. In contrast to the method of extending the complex matrix to real model and there after applying real-valued QR decomposition (QRD), we develop a highly parallel decomposition scheme based on coordinate rotation digital computer (CORDIC) which performs the QRD in complex domain directly and then converting the complex result to its real counterpart. The proposed scheme can greatly improve the processing parallelism and curtail the nullification and sorting procedures. Besides, we also design the corresponding pipelined hardware architecture of the MMSE-SQRD based on highly parallel Givens rotation structure with CORDIC algorithm for 4 x 4 MIMO detectors. The proposed MMSE-SQRD is implemented in SMIC 55 nm CMOS technology achieving up to 50M QRD/s throughput and a latency of 59 clock cycles with only 218 kilo-gates (KG). Compared to the previous works, the proposed design achieves the highest normalized throughput efficiency and lowest processing latency.
机译:在这封信中,提出了一种低延迟,高吞吐量和硬件有效的分类MMSE QR分解(MMSE-SQRD),用于多个输出多输出(MIMO)系统。与将复杂矩阵扩展到真实模型的方法相比,在应用实际值QR分解(QRD)之后,我们基于坐标旋转数字计算机(CORDIC)直接在复杂域中执行QRD的高度平行分解方案然后将复杂结果转换为真实的对应物。该方案可以大大提高加工并行性并限制无效和排序程序。此外,我们还基于具有4×4 MIMO检测器的CORDIC算法的高度平行Givens旋转结构设计了MMSE-SQRD的相应流水线硬件架构。所提出的MMSE-SQRD在SMIC 55 NM CMOS技术中实现,实现高达50米的QRD / S吞吐量和59个时钟周期的延迟,只有218千瓦门(千克)。与以前的作品相比,所提出的设计实现了最高的标准化吞吐量效率和最低处理延迟。

著录项

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