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    Method and apparatus for near-optimal computation of bit soft information in multiple antenna communication systems with iterative detection and decoding
    1.
    发明公开
    Method and apparatus for near-optimal computation of bit soft information in multiple antenna communication systems with iterative detection and decoding 有权
    的方法和装置具有多个天线以及迭代检测和解码大约计算在通信系统中最佳的可靠性信息

    公开(公告)号：EP2200240A1

    公开(公告)日：2010-06-23

    申请号：EP08172100.3

    申请日：2008-12-18

    Applicant: STMicroelectronics Srl

    Inventor： Siti, Massimiliano ,  Volpatti, Oscar

    IPC: H04L25/03 ,  H04L25/06 ,  H04L1/06 ,  H04L1/00

    CPC classification number: H04L25/03178 ,  H04L1/0048 ,  H04L1/005 ,  H04L25/067 ,  H04L2025/03426

    Abstract: One or more techniques to iteratively detect (320) and decode data transmitted in a wireless ( e . g ., MIMO-OFDM) communication system, featuring a MIMO detector and a soft input soft-output (SISO) error-correction-code (ECC) decoder. More specifically, a method suitable for iterative detection and decoding schemes is proposed, which is able to output near optimal bit soft information ( e . g ., log-likelihood ratios, LLRs) processing efficiently given input bit soft information. First, a transmitting source is selected as a reference layer, wherein the associated symbol represents a reference transmit symbol. Subsequently, a set of candidate values are identified for the reference transmit symbol. For each candidate value a candidate transmit sequence ( U t ( X )) is estimated (616) through a novel spatial decision feedback equalization (DFE) process based on both Euclidean distance metrics and the a-priori soft information ( L a ) provided by the SISO ECC decoder. The novel DFE technique uses a novel bit metric. Techniques are provided to identify a reduced size transmit symbol candidate set and generate from it near-optimal LLRs, also processing input a-priori LLRs in an iterative fashion.

    Abstract translation: 一种或多种技术以迭代地检测（320）和解码数据的反式在无线mitted（例如G.，MIMO-OFDM）通信系统中，设有一个MIMO检测器和软输入软输出（SISO）纠错码（ ECC）解码器。 更具体地，适合于迭代检测和解码方案提出了一种方法，所有这些都能够输出接近最优的比特软信息（例如G.，对数似然比，的LLR）的处理高效地给定的输入比特的软信息。 首先，发送源被选择为参考层，worin darstellt基准发射符号相关联的符号。 随后，一组候选值被标识为基准发射符号。 对于每个候选值通过一种新颖的空间判决反馈均衡的候选发射序列（U T（X）），估计（616）基于由提供两个欧几里德距离度量和先验软信息（L A）（DFE）过程 SISO的ECC解码器。 新颖DFE技术使用一种新颖的比特度量。 提供技术来识别一个减小的尺寸的发射符号候选组和从它产生接近最佳的LLR，所以处理输入以迭代方式的先验的LLR。

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