ADAPTIVE EQUALIZATION USING A CONDITIONAL UPDATE SIGN-SIGN LEAST MEAN SQUARE ALGORITHM
    3.
    发明申请
    ADAPTIVE EQUALIZATION USING A CONDITIONAL UPDATE SIGN-SIGN LEAST MEAN SQUARE ALGORITHM 审中-公开
    使用条件更新的自适应均衡签名最小均方算法

    公开(公告)号:WO2005027446A1

    公开(公告)日:2005-03-24

    申请号:PCT/US2004/029175

    申请日:2004-09-08

    Abstract: An adaptive equalizer finite impulse response (FIR) filter for high-speed communication channels with modest complexity, where the filter is iteratively updated during a training sequence by a circuit performing the update: (I), where (II) is the filter vector representing the filter taps of the FIR filter, (III) is the data vector representing present and past samples of the received data x (t), d(t) is the desired data used for training, z(t) is the output of the FIR filter, µ determines the memory or window size of the adaptation, and K is a scale factor taking into account practical limitations of the communication channel, receiver, and equalizer. Furthermore, a procedure and circuit structure is provided for calibrating the scale factor K .

    Abstract translation: 用于具有适度复杂度的高速通信信道的自适应均衡器有限脉冲响应(FIR)滤波器,其中通过执行更新的电路在训练序列期间迭代地更新滤波器:(I),其中(II)是表示 FIR滤波器的滤波器抽头(III)是表示接收数据x(t)的当前和过去样本的数据向量,d(t)是用于训练的期望数据,z(t)是 FIR滤波器,μ确定适配的存储器或窗口大小,K是考虑通信信道,接收机和均衡器的实际限制的比例因子。 此外,提供了用于校准比例因子K的过程和电路结构。

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