Sparse channel estimation for MIMO OFDM systems
    2.
    发明授权
    Sparse channel estimation for MIMO OFDM systems 有权
    MIMO OFDM系统的稀疏信道估计

    公开(公告)号:US08619918B2

    公开(公告)日:2013-12-31

    申请号:US12395679

    申请日:2009-03-01

    IPC分类号: H04L27/06

    摘要: A method for sparse channel estimation in MIMO OFDM systems with a plurality of subchannels having the same sparsity structure is presented. The inventive method comprises initializing a plurality of residual vectors and observation generating matrices modeling the channel, sending a pilot signal for each subcarrier, converting the pilot signals to tap positions, detecting an optimal tap position, updating the residual vectors by removing the one residual vector having the optimal tap position, updating the generating matrices in accordance with the optimal residual vector, calculating weighted residuals based on the updated residual vectors, and repeating the steps, except initializing, until a stopping condition is met, wherein the updated observation matrices estimate the sparse channel. In one embodiment, the observation generating matrices are omitted. In one embodiment, multiple vectors are removed during one iteration. Pilot placement and pilot allocation techniques are presented to optimize the method.

    摘要翻译: 提出了具有相同稀疏结构的多个子信道的MIMO OFDM系统中稀疏信道估计的方法。 本发明的方法包括:初始化多个残差向量和建立该信道的观测生成矩阵,为每个子载波发送导频信号,将导频信号转换成抽头位置,检测最佳抽头位置,通过去除一个残差向量来更新残差向量 具有最佳抽头位置,根据最佳残差矢量更新生成矩阵,基于更新后的残差向量计算加权残差,并重复除了初始化之外的步骤,直到满足停止条件为止,其中更新后的观测矩阵估计 稀疏频道 在一个实施例中,省略观察生成矩阵。 在一个实施例中,在一次迭代期间移除多个向量。 提出了试点布置和导频分配技术,以优化方法。

    Sparse Channel Estimation for MIMO OFDM Systems
    3.
    发明申请
    Sparse Channel Estimation for MIMO OFDM Systems 有权
    MIMO OFDM系统的稀疏信道估计

    公开(公告)号:US20100074358A1

    公开(公告)日:2010-03-25

    申请号:US12395679

    申请日:2009-03-01

    IPC分类号: H04L1/02

    摘要: A method for sparse channel estimation in MIMO OFDM systems with a plurality of subchannels having the same sparsity structure is presented. The inventive method comprises initializing a plurality of residual vectors and observation generating matrices modeling the channel, sending a pilot signal for each subcarrier, converting the pilot signals to tap positions, detecting an optimal tap position, updating the residual vectors by removing the one residual vector having the optimal tap position, updating the generating matrices in accordance with the optimal residual vector, calculating weighted residuals based on the updated residual vectors, and repeating the steps, except initializing, until a stopping condition is met, wherein the updated observation matrices estimate the sparse channel. In one embodiment, the observation generating matrices are omitted. In one embodiment, multiple vectors are removed during one iteration. Pilot placement and pilot allocation techniques are presented to optimize the method.

    摘要翻译: 提出了具有相同稀疏结构的多个子信道的MIMO OFDM系统中稀疏信道估计的方法。 本发明的方法包括初始化多个残差向量和观测生成矩阵,对该信道进行建模,为每个子载波发送导频信号,将导频信号转换成抽头位置,检测最佳抽头位置,通过去除一个残差向量来更新残差向量 具有最佳抽头位置,根据最佳残差矢量更新生成矩阵,基于更新后的残差向量计算加权残差,并重复除了初始化之外的步骤,直到满足停止条件为止,其中更新后的观测矩阵估计 稀疏频道 在一个实施例中,省略观察生成矩阵。 在一个实施例中,在一次迭代期间移除多个向量。 提出了试点布置和导频分配技术,以优化方法。