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    • 2. 发明授权
    • Multiple antenna spatial multiplexing optimal detection
    • 多天线空间复用最优检测
    • US08279965B2
    • 2012-10-02
    • US12495305
    • 2009-06-30
    • Chris Leung
    • Chris Leung
    • H04L1/02
    • H04L25/067H04B7/0697H04B7/0848H04L5/0023H04L25/0204H04L2025/0342H04L2025/03426
    • MIMO detection is described that reduces the complexity of computations for finding the soft bit output. The detection process includes QR factorization splitting the distance calculations into two groups, subset lookup using a last cross constellation set (LCCS) lookup, and minimal distance lookup with soft bit output calculation. By grouping the distance calculations into a first group that has one antenna transmitting using a modulation scheme with a generally square constellation diagram and a second group for all of the other antenna constellation diagrams, the LCCS lookup process may be used which substantially reduces the number of calculations to be made in the detection process. Moreover, in the special case of 2×2 antenna, QR factorization is performed by applying a scaled Givens rotation to the channel matrix. The application of the scaled Givens rotation operator eliminates any square root operations that would be performed in a standard QR factorization.
    • 描述了MIMO检测,降低了用于找到软比特输出的计算的复杂度。 检测过程包括QR分解,将距离计算分成两组,使用最后的交叉星座集(LCCS)查找进行子集查找,以及使用软比特输出计算的最小距离查找。 通过将距离计算分组为具有一个天线发射的第一组,使用具有大致正方形星座图的调制方案和用于所有其他天线星座图的第二组,可以使用LCCS查找过程,其大大减少 在检测过程中进行计算。 此外,在2×2天线的特殊情况下,通过对信道矩阵应用缩放的Givens旋转来执行QR因子分解。 缩放的Givens旋转运算符的应用消除了将在标准QR因式分解中执行的任何平方根运算。
    • 3. 发明申请
    • MULTIPLE ANTENNA SPATIAL MULTIPLEXING OPTIMAL DETECTION
    • 多天线空间多路复用优化检测
    • US20100329378A1
    • 2010-12-30
    • US12495305
    • 2009-06-30
    • Chris Leung
    • Chris Leung
    • H04B7/02H04L27/06H04B1/16
    • H04L25/067H04B7/0697H04B7/0848H04L5/0023H04L25/0204H04L2025/0342H04L2025/03426
    • MIMO detection is described that reduces the complexity of computations for finding the soft bit output. The detection process includes QR factorization splitting the distance calculations into two groups, subset lookup using a last cross constellation set (LCCS) lookup, and minimal distance lookup with soft bit output calculation. By grouping the distance calculations into a first group that has one antenna transmitting using a modulation scheme with a generally square constellation diagram and a second group for all of the other antenna constellation diagrams, the LCCS lookup process may be used which substantially reduces the number of calculations to be made in the detection process. Moreover, in the special case of 2×2 antenna, QR factorization is performed by applying a scaled Givens rotation to the channel matrix. The application of the scaled Givens rotation operator eliminates any square root operations that would be performed in a standard QR factorization.
    • 描述了MIMO检测,降低了用于找到软比特输出的计算的复杂度。 检测过程包括QR分解,将距离计算分成两组,使用最后的交叉星座集(LCCS)查找进行子集查找,以及使用软比特输出计算的最小距离查找。 通过将距离计算分组为具有一个天线发射的第一组,使用具有大致正方形星座图的调制方案和用于所有其他天线星座图的第二组,可以使用LCCS查找过程,其大大减少 在检测过程中进行计算。 此外,在2×2天线的特殊情况下,通过对信道矩阵应用缩放的Givens旋转来执行QR因子分解。 缩放的Givens旋转运算符的应用消除了将在标准QR因式分解中执行的任何平方根运算。