Method and apparatus for singular value decomposition of a channel matrix
    2.
    发明授权
    Method and apparatus for singular value decomposition of a channel matrix 失效
    用于信道矩阵的奇异值分解的方法和装置

    公开(公告)号:US07602855B2

    公开(公告)日:2009-10-13

    申请号:US11392025

    申请日:2006-03-29

    IPC分类号: H04B7/02

    摘要: A method and apparatus for decomposing a channel matrix in a wireless communication system are disclosed. A channel matrix H is generated for channels between transmit antennas and receive antennas. A Hermitian matrix A=HHH or A=HHH is created. A Jacobi process is cyclically performed on the matrix A to obtain Q and DA matrixes such that A=QDAQH. DA is a diagonal matrix obtained by singular value decomposition (SVD) on the A matrix. In each Jacobi transformation, real part diagonalization is performed to annihilate real parts of off-diagonal elements of the matrix and imaginary part diagonalization is performed to annihilate imaginary parts of off-diagonal elements of the matrix after the real part diagonalization. U, V and DH matrixes of H matrix are then calculated from the Q and DA matrices. DH is a diagonal matrix comprising singular values of the H matrix.

    摘要翻译: 公开了一种在无线通信系统中分解信道矩阵的方法和装置。 为发射天线和接收天线之间的信道生成信道矩阵H. 创建Hermitian矩阵A = HHH或A = HHH。 在矩阵A上循环执行Jacobi过程以获得Q和DA矩阵,使得A = QDAQH。 DA是通过在A矩阵上的奇异值分解(SVD)获得的对角矩阵。 在每个雅可比变换中,执行实部对角化以湮灭矩阵的非对角元素的实部,并且执行虚部对角化​​以在实部对角化之后湮灭矩阵的非对角元素的虚部。 然后从Q和DA矩阵计算H矩阵的U,V和DH矩阵。 DH是包括H矩阵的奇异值的对角矩阵。

    METHOD AND APPARATUS FOR LOW COMPLEXITY SOFT OUTPUT DECODING FOR QUASI-STATIC MIMO CHANNELS
    3.
    发明申请
    METHOD AND APPARATUS FOR LOW COMPLEXITY SOFT OUTPUT DECODING FOR QUASI-STATIC MIMO CHANNELS 审中-公开
    用于准静态MIMO信道的低复杂度软输出解码的方法和装置

    公开(公告)号:US20080195917A1

    公开(公告)日:2008-08-14

    申请号:US12028612

    申请日:2008-02-08

    IPC分类号: H03M13/00

    摘要: A method and apparatus for soft output decoding of multi-input multi-output (MIMO) channels in order to improve throughput performance is provided. In particular, a low-cost alternative to exhaustive brute-force maximum-likelihood search by using a variant of list decoding that exploits pre-coder linearity to reduce the computational complexity in generating a list of candidate codewords for decoding is disclosed.

    摘要翻译: 提供了一种用于多输入多输出(MIMO)信道的软输出解码以便提高吞吐量性能的方法和装置。 特别地,公开了通过使用利用预编码器线性度的列表解码的变体以减少生成用于解码的候选码字列表的计算复杂度的穷举强力最大似然搜索的低成本替代方案。

    METHOD AND APPARATUS FOR SINGULAR VALUE DECOMPOSITION OF A CHANNEL MATRIX
    8.
    发明申请
    METHOD AND APPARATUS FOR SINGULAR VALUE DECOMPOSITION OF A CHANNEL MATRIX 审中-公开
    用于信道矩阵的单值分解的方法和装置

    公开(公告)号:US20120307945A1

    公开(公告)日:2012-12-06

    申请号:US13584338

    申请日:2012-08-13

    IPC分类号: H04L27/06

    摘要: A method and apparatus for decomposing a channel matrix in a wireless communication system are disclosed. A channel matrix H is generated for channels between transmit antennas and receive antennas. A Hermitian matrix A=HHH or A=HHH is created. A Jacobi process is cyclically performed on the matrix A to obtain Q and DA matrixes such that A=QDAQH. DA is a diagonal matrix obtained by singular value decomposition (SVD) on the A matrix. In each Jacobi transformation, real part diagonalization is performed to annihilate real parts of off-diagonal elements of the matrix and imaginary part diagonalization is performed to annihilate imaginary parts of off-diagonal elements of the matrix after the real part diagonalization. U, V and DH matrixes of H matrix are then calculated from the Q and DA matrices. DH is a diagonal matrix comprising singular values of the H matrix.

    摘要翻译: 公开了一种在无线通信系统中分解信道矩阵的方法和装置。 为发射天线和接收天线之间的信道生成信道矩阵H. 创建Hermitian矩阵A = HHH或A = HHH。 在矩阵A上循环执行Jacobi过程以获得Q和DA矩阵,使得A = QDAQH。 DA是通过在A矩阵上的奇异值分解(SVD)获得的对角矩阵。 在每个雅可比变换中,执行实部对角化以湮灭矩阵的非对角元素的实部,并且执行虚部对角化​​以在实部对角化之后湮灭矩阵的非对角元素的虚部。 然后从Q和DA矩阵计算H矩阵的U,V和DH矩阵。 DH是包括H矩阵的奇异值的对角矩阵。