公开(公告)号：US09059828B1

公开(公告)日：2015-06-16

申请号：US13897447

申请日：2013-05-20

申请人： Jose Marcelo Lima Duarte ,  Shue Lee Chang ,  Wee Peng Goh

发明人： Jose Marcelo Lima Duarte ,  Shue Lee Chang ,  Wee Peng Goh

IPC分类号： H04L27/06 ,  H04L1/00

CPC分类号： H04L1/0054 ,  H04L1/06 ,  H04L25/03242 ,  H04L25/03318 ,  H04L25/03891 ,  H04L2025/03598

摘要： This invention discloses an optimum form maximum likelihood MIMO detector (SFS ML Detector) that computes the LLR of the most likely received bit sequence from the received signal y, which consist of multiple signal stream from a MIMO channel H and an estimate of H. Through 5 simple steps of QR factorization, computation of partial Euclidean distance, sorting of the partial Euclidean distance, selection of surviving hypothesis by a set of algorithmic rule and computation of the full Euclidean distance of the survivors, and computation of the maximum likelihood from the surviving full Euclidean distance, the LLR of the received bit sequence can be obtained with a significantly lower number of computation and comparison than that is implied in the theoretical form of the maximum likelihood (ML) detector. There is no loss in performance of the SFS ML detector from the theoretical ML detector.

摘要翻译： 本发明公开了一种最佳形式最大似然MIMO检测器（SFS ML检测器），其从接收信号y计算最可能接收的比特序列的LLR，其由来自MIMO信道H的多个信号流和H的估计组成。通过 QR分解的5个简单步骤，部分欧几里德距离的计算，部分欧几里德距离的排序，通过一组算法规则选择存活假设和计算幸存者的完整欧几里德距离，以及计算幸存者的最大似然 完全欧几里德距离，可以以比最大似然（ML）检测器的理论形式暗示的计算和比较数明显减少得到接收到的位序列的LLR。 来自理论ML检测器的SFS ML检测器的性能没有损失。