Near maximum likelihood spatial multiplexing receiver
    2.
    发明授权
    Near maximum likelihood spatial multiplexing receiver 有权
    近最大似然空间复用接收机

    公开(公告)号:US09008240B1

    公开(公告)日:2015-04-14

    申请号:US14145799

    申请日:2013-12-31

    摘要: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. An initial symbol estimation is performed for a received symbol vector. The soft information of the received symbol vector can be more accurately calculated using every candidate symbol vector of a combined set of candidate symbol vectors, wherein the combined set is generated based on the initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

    摘要翻译: 本发明涉及具有接近最佳性能的无线通信系统中的低复杂度MIMO检测器。 对接收到的符号向量执行初始符号估计。 可以使用组合的一组候选符号向量的每个候选符号向量来更精确地计算接收符号向量的软信息,其中基于初始估计生成组合集合。 通过组合线性检测和ML检测的方面,提出的检测器的复杂度比ML检测器的复杂度低几个数量级,但性能非常接近于ML检测器。

    Decision feedback solution for channels with low signal to noise ratio
    3.
    发明授权
    Decision feedback solution for channels with low signal to noise ratio 有权
    具有低信噪比的信道的判决反馈解决方案

    公开(公告)号:US09083499B1

    公开(公告)日:2015-07-14

    申请号:US14145813

    申请日:2013-12-31

    摘要: This invention is related to a low-complexity MIMO detector in a wireless communication system with near optimal performance. Initial symbol estimation is performed for a transmitted symbol vector. The soft information of the transmitted symbol vector can be more accurately calculated by deemphasizing the LLRs associated with symbols belonging to weak channels that may suffer from poor initial estimation. By combining aspects of both the linear detection and the ML detection, the complexity of the proposed detector becomes orders of magnitude lower than that of a ML detector, but the performance is very close to that of an ML detector.

    摘要翻译: 本发明涉及具有接近最佳性能的无线通信系统中的低复杂度MIMO检测器。 对发送的符号向量执行初始符号估计。 可以通过对与属于可能遭受不良初始估计的弱信道的符号相关联的LLR进行强调来更精确地计算所发送的符号向量的软信息。 通过组合线性检测和ML检测的方面,提出的检测器的复杂度比ML检测器的复杂度低几个数量级,但性能非常接近于ML检测器。