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    Multi-term demapping for multi-channel wireless communication
    1.
    发明授权
    Multi-term demapping for multi-channel wireless communication 有权
    用于多通道无线通信的多项解映射

    公开(公告)号：US08923424B2

    公开(公告)日：2014-12-30

    申请号：US12711128

    申请日：2010-02-23

    申请人： Michael L. McCloud ,  Matthias Brehler ,  Ju Won Park ,  Jong Hyeon Park ,  Je Woo Kim ,  Inyup Kang ,  Brian C. Banister

    发明人： Michael L. McCloud ,  Matthias Brehler ,  Ju Won Park ,  Jong Hyeon Park ,  Je Woo Kim ,  Inyup Kang ,  Brian C. Banister

    IPC分类号： H04B7/02 ,  H04L25/03 ,  H04B7/04

    CPC分类号： H04L25/03229 ,  H04B7/0413 ,  H04L25/03242 ,  H04L25/03318 ,  H04L2025/0342 ,  H04L2025/03426

    摘要： Providing for reduced complexity or improved accuracy in de-mapping received wireless data streams for multi-channel wireless communication is described herein. By way of example, a low-complexity likelihood algorithm can be employed to de-map data bits from the wireless data streams. In one particular example, the likelihood algorithm can approximate a received bit with a subset of received wireless symbols correlated the bit, reducing algorithm complexity. In other examples, a limited set of received wireless symbols can be employed for the subset, further reducing algorithm complexity. According to at least one other example, logarithmic terms of the algorithm can be approximated with non-logarithmic functions, such as a look-up table, series expansion, polynomial approximation, or the like. These approximations can enhance symbol de-mapping accuracy while maintaining or improving processing overhead for a wireless receiver.

    摘要翻译： 本文描述了为了解复用用于多信道无线通信的接收的无线数据流而提供降低的复杂度或提高的精度。 作为示例，可以采用低复杂度似然算法来从无线数据流解映射数据比特。 在一个特定示例中，似然算法可以用接收到的无线符号的子集近似接收到的比特，从而降低算法的复杂度。 在其他示例中，可以对该子集采用有限的一组接收到的无线符号，进一步降低了算法的复杂度。 根据至少另一个示例，算法的对数项可以用非对数函数来近似，例如查找表，串联展开，多项式近似等。 这些近似可以增强符号解映射精度，同时保持或改善无线接收机的处理开销。

    MULTI-TERM DEMAPPING FOR MULTI-CHANNEL WIRELESS COMMUNICATION
    2.
    发明申请
    MULTI-TERM DEMAPPING FOR MULTI-CHANNEL WIRELESS COMMUNICATION 有权
    多通道无线通信多用途解决方案

    公开(公告)号：US20110206151A1

    公开(公告)日：2011-08-25

    申请号：US12711128

    申请日：2010-02-23

    申请人： Michael L. McCloud ,  Matthias Brehler ,  Ju Won Park ,  Jong Hyeon Park ,  Je Woo Kim ,  Inyup Kang ,  Brian C. Banister

    发明人： Michael L. McCloud ,  Matthias Brehler ,  Ju Won Park ,  Jong Hyeon Park ,  Je Woo Kim ,  Inyup Kang ,  Brian C. Banister

    IPC分类号： H04L1/02 ,  H04L27/06

    CPC分类号： H04L25/03229 ,  H04B7/0413 ,  H04L25/03242 ,  H04L25/03318 ,  H04L2025/0342 ,  H04L2025/03426

    摘要： Providing for reduced complexity or improved accuracy in de-mapping received wireless data streams for multi-channel wireless communication is described herein. By way of example, a low-complexity likelihood algorithm can be employed to de-map data bits from the wireless data streams. In one particular example, the likelihood algorithm can approximate a received bit with a subset of received wireless symbols correlated the bit, reducing algorithm complexity. In other examples, a limited set of received wireless symbols can be employed for the subset, further reducing algorithm complexity. According to at least one other example, logarithmic terms of the algorithm can be approximated with non-logarithmic functions, such as a look-up table, series expansion, polynomial approximation, or the like. These approximations can enhance symbol de-mapping accuracy while maintaining or improving processing overhead for a wireless receiver.

    摘要翻译： 本文描述了为了解复用用于多信道无线通信的接收的无线数据流而提供降低的复杂度或提高的精度。 作为示例，可以采用低复杂度似然算法来从无线数据流解映射数据比特。 在一个特定示例中，似然算法可以用接收到的无线符号的子集近似接收到的比特，从而降低算法的复杂度。 在其他示例中，可以对该子集采用有限的一组接收到的无线符号，进一步降低了算法的复杂度。 根据至少另一个示例，算法的对数项可以用非对数函数来近似，例如查找表，串联展开，多项式近似等。 这些近似可以增强符号解映射精度，同时保持或改善无线接收机的处理开销。

    METHODS AND SYSTEMS FOR STC SIGNAL DECODING USING MIMO DECODER
    5.
    发明申请
    METHODS AND SYSTEMS FOR STC SIGNAL DECODING USING MIMO DECODER 审中-公开
    使用MIMO解码器的STC信号解码的方法和系统

    公开(公告)号：US20090316840A1

    公开(公告)日：2009-12-24

    申请号：US12211935

    申请日：2008-09-17

    申请人： Jong Hyeon Park ,  Brian Clark Banister ,  Inyup Kang ,  Je Woo Kim ,  James Y. Hurt ,  Matthias Brehler

    发明人： Jong Hyeon Park ,  Brian Clark Banister ,  Inyup Kang ,  Je Woo Kim ,  James Y. Hurt ,  Matthias Brehler

    IPC分类号： H04L27/06

    CPC分类号： H04L1/0631 ,  H04L1/0662

    摘要： Space time coding (STC) may be applied at the transmitter adding redundant information in both space and time dimensions. At the receiver, the received STC signal may be decoded using a spatial multiplexing MIMO decoding, for example, based on either Minimum Mean Square Error (MMSE) or maximum-likelihood (ML) algorithms. A selective STC decoder may incorporate both the conventional maximum ratio combining (MRC) decoding scheme and a MIMO decoding scheme. One of the STC decoding schemes may be selected, for example, based on estimated channel conditions in order to achieve a trade-off between error rate performance and computational complexity. Components used for a non-selected scheme may be powered down.

    摘要翻译： 空间时间编码（STC）可以在发射机上应用于空间和时间维度上的冗余信息。 在接收机处，可以使用例如基于最小均方误差（MMSE）或最大似然（ML）算法的空间复用MIMO解码来解码所接收的STC信号。 选择性STC解码器可以并入传统的最大比组合（MRC）解码方案和MIMO解码方案。 可以例如基于估计的信道条件来选择STC解码方案之一，以便实现错误率性能和计算复杂度之间的权衡。 用于未选择方案的组件可能会关闭电源。

    ID-cell index search algorithm and carrier frequency offset estimation
    10.
    发明授权
    ID-cell index search algorithm and carrier frequency offset estimation 失效
    ID-cell索引搜索算法和载波频率偏移估计

    公开(公告)号：US08243775B2

    公开(公告)日：2012-08-14

    申请号：US12337641

    申请日：2008-12-18

    申请人： Junqiang Li ,  Je Woo Kim ,  Jong Hyeon Park ,  Matthias Brehler

    发明人： Junqiang Li ,  Je Woo Kim ,  Jong Hyeon Park ,  Matthias Brehler

    IPC分类号： H04L1/7083

    CPC分类号： H04L27/2659 ,  H04J11/0073 ,  H04L27/2675 ,  H04L27/2684

    摘要： Techniques for initial wireless network synchronization by a mobile station are provided. For certain embodiments, the techniques may involve a joint search for the cell identification (ID-cell index) and the coarse carrier frequency offset (CFO) estimation. For certain embodiments, the techniques may be based on hard correlation and binary differential despreading that substantially simplifies computational complexity compare to known techniques that independently search for the ID-cell index and perform CFO estimation.

    摘要翻译： 提供了由移动台进行初始无线网络同步的技术。 对于某些实施例，这些技术可以涉及对小区标识（ID-小区索引）和粗略载波频率偏移（CFO）估计的联合搜索。 对于某些实施例，该技术可以基于硬相关和二进制差分解扩，其与独立地搜索ID小区索引并执行CFO估计的已知技术相比基本上简化了计算复杂度。