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    • 6. 发明授权
    • Reduced parallel and pipelined high-order MIMO LMMSE receiver architecture
    • 降低并行和流水线高阶MIMO LMMSE接收机架构
    • US07492815B2
    • 2009-02-17
    • US10997397
    • 2004-11-24
    • Yuanbin GuoJianzhong ZhangDennis McCainJoseph R. Cavallaro
    • Yuanbin GuoJianzhong ZhangDennis McCainJoseph R. Cavallaro
    • H04B1/707H03H7/30
    • H04L25/03038H04B1/71055H04L25/0204H04L25/021H04L25/0242H04L25/0328H04L2025/03375H04L2025/03426H04L2025/03477H04L2025/03605
    • Disclosed is a LMMSE receiver that restores orthogonality of spreading codes in the downlink channel for a spread spectrum signal received over N receive antennas. The FFT-based chip equalizer tap solver reduces the direct matrix inverse of the prior art to the inverse of some submatrices of size N×N with the dimension of the receive antennas, and most efficiently reduces matrix inverses to no larger than 2×2. Complexity is further reduced over a conventional Fast Fourier Transform approach by Hermitian optimization to the inverse of submatrices and tree pruning. For a receiver with N=4 or N=2 with double oversampling, the resulting 4×4 matrices are partitioned into 2×2 block sub-matrices, inverted, and rebuilt into a 4×4 matrix. Common computations are found and repeated computations are eliminated to improve efficiency. Generic design architecture is derived from the special design blocks to eliminate redundancies in complex operations. Optimally, the architecture is parallel and pipelined.
    • 公开了一种用于在N个接收天线上接收的扩频信号的下行链路信道中恢复扩频码的正交性的LMMSE接收机。 基于FFT的码片均衡器抽头解算器将现有技术的直接矩阵逆减少为具有接收天线的尺寸的尺寸为N×N的一些子矩阵的倒数,并且最有效地将矩阵反转减小到不大于2×2。 通过Hermitian优化,传统的快速傅立叶变换方法,复杂度进一步降低到子矩阵和树剪枝的倒数。 对于具有N = 4或N = 2的具有双重过采样的接收机,所得到的4×4矩阵被划分为2x2块子矩阵,被反转并重建为4×4矩阵。 发现常规计算,消除重复计算以提高效率。 通用设计架构源于特殊的设计模块,以消除复杂操作中的冗余。 最佳的架构是并行和流水线的。
    • 7. 发明申请
    • MIMO Kalman equalizer for CDMA wireless communication
    • 用于CDMA无线通信的MIMO卡尔曼均衡器
    • US20060146759A1
    • 2006-07-06
    • US11029900
    • 2005-01-04
    • Yuanbin GuoJianzhong ZhangDennis McCainJoseph Cavallaro
    • Yuanbin GuoJianzhong ZhangDennis McCainJoseph Cavallaro
    • H04B7/216
    • H04L25/03057H04B1/707H04L2025/03426H04L2025/03522H04L2025/0363
    • An apparatus and corresponding method for receiving a MIMO cellular communication signal, the apparatus including: a Kalman filter type of equalizer, responsive to a received signal, for providing a corresponding processed signal indicating information conveyed by the received signal, responsive to a set of values indicating predicted state error correlation at a first instant of time given all noise estimates up through the first instant, for providing ta set of values indicating a product of measurement values and predicted state error correlation at a later instant of time given all process noise estimates up through the later instant. The filter is implemented so as to make use of the displacement structure of the state transition matrix of the Kalman filter allowing shifting operations in place of vector and matrix multiplications. The filter typically includes a transition and common data path that provides to both a Kalman gain processor and a Riccati processor the set of values indicating a product of measurement values and predicted state error correlation at a later instant of time given all process noise estimates up through the later instant.
    • 一种用于接收MIMO蜂窝通信信号的装置和相应方法,所述装置包括:响应于接收信号的卡尔曼滤波器类型的均衡器,用于响应于一组值提供指示由接收信号传送的信息的相应处理信号 指示在第一时刻给出所有噪声估计值的第一时刻的预测状态误差相关性,以便在给定所有过程噪声估计上升的情况下提供指示测量值的乘积的值和在稍后时刻的预测状态误差相关性的值 通过后来的时刻。 滤波器被实现为利用卡尔曼滤波器的状态转移矩阵的位移结构,允许移位操作代替矢量和矩阵乘法。 该滤波器通常包括一个转换和公共数据路径,向卡尔曼增益处理器和Riccati处理器提供一组值,该值指示在所有过程噪声估计值通过的时间点的测量值和预测状态误差相关的乘积 后来的时刻。