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    • 33. 发明授权
    • Receiver parametric covariance estimation for precoded MIMO transmissions
    • 用于预编码MIMO传输的接收机参数协方差估计
    • US08781011B2
    • 2014-07-15
    • US12036323
    • 2008-02-25
    • Stephen J. Grant
    • Stephen J. Grant
    • H04B7/02H04L1/02
    • H04B7/0417H04B1/712H04B2201/709727
    • A model-based technique for estimating signal impairments that can accommodate various transmitted signal configurations, including closed-loop transmit diversity signals and pre-coded MIMO signals, is disclosed. In an exemplary method, an impairment model is constructed for a received composite information signal comprising at least a first data stream transmitted from first and second antennas according to a first antenna weighting vector. The impairment model includes one or more model terms scaled by corresponding scaling parameters, wherein the model terms capture propagation channel effects and are independent of the first antenna weighting vector, and wherein the scaling parameters capture effects of the first antenna weighting vector. A parametric estimate of the impairment covariance is calculated using the impairment model.
    • 公开了一种用于估计可以适应各种发射信号配置的信号损伤的基于模型的技术,包括闭环发射分集信号和预编码的MIMO信号。 在一个示例性方法中,针对接收的复合信息信号构建损伤模型,所述复合信息信号包括根据第一天线加权向量从第一和第二天线发送的至少第一数据流。 所述损伤模型包括由相应的缩放参数缩放的一个或多个模型项,其中所述模型项捕获传播信道效应,并且独立于所述第一天线加权矢量,并且其中所述缩放参数捕获所述第一天线加权矢量的效果。 使用损伤模型计算损伤协方差的参数估计。
    • 34. 发明申请
    • Code Power Estimation for MIMO Signals
    • MIMO信号的码功率估计
    • US20090213909A1
    • 2009-08-27
    • US12036368
    • 2008-02-25
    • Stephen J. GrantDouglas A. Cairns
    • Stephen J. GrantDouglas A. Cairns
    • H04B1/707H04B17/00
    • H04B7/0426H04B1/712H04B2201/709727
    • Methods and apparatus for estimating code-reuse interference associated with a received multi-stream multiple-input multiple-output (MIMO) signal are disclosed. An estimate for the data-to-pilot power ratio, ΓD/P, may be obtained as a by-product of parametric estimation of impairment covariance associated with the received MIMO signal. In an exemplary method, a parametric impairment model is constructed for a received MIMO signal, the parametric model omitting code-reuse interference. Impairment covariance is measured, using, in one or more embodiments, received pilot symbol data. The parametric impairment model is fitted to the measured impairment covariance to obtain one or more scaling parameter values. A per-code energy value for a first data stream is then calculated from the one or more scaling parameter values. In some embodiments, the data-to-pilot power ratio for the received signal is first calculated from the one or more scaling parameters, and the per-code energy value calculated from the data-to-pilot power ratio.
    • 公开了用于估计与接收的多流多输入多输出(MIMO)信号相关联的代码重用干扰的方法和装置。 可以获得数据导频功率比GammaD / P的估计,作为与接收的MIMO信号相关联的损害协方差的参数估计的副产品。 在示例性方法中,为接收的MIMO信号构建参数化损伤模型,该参数模型省略了码重用干扰。 在一个或多个实施例中,使用接收的导频符号数据来测量损伤协方差。 参数化损伤模型适用于测量的损害协方差,以获得一个或多个缩放参数值。 然后从一个或多个缩放参数值计算第一数据流的每码能量值。 在一些实施例中,首先从一个或多个缩放参数和从数据导频功率比计算出的每码能量值来计算接收信号的数据导频功率比。
    • 35. 发明申请
    • Method and Apparatus for Determining Combining Weights for MIMO Receivers
    • 用于确定MIMO接收机的组合权重的方法和装置
    • US20080152053A1
    • 2008-06-26
    • US11613677
    • 2006-12-20
    • Tracy L. FulghumStephen J. Grant
    • Tracy L. FulghumStephen J. Grant
    • H04L1/02H04B7/10
    • H04B7/0854H04B1/7103H04B2201/709727
    • According to a method and apparatus taught herein, the computation of intermediate combining weights considers impairment correlations common to two received signal streams, but does not account for cross-stream interference attributable to channel reuse between the two streams. Excluding consideration of channel reuse cross-stream interference from the computation of intermediate combining weights simplifies intermediate combining weight computation and increases computational robustness. Further, final combining weights, such as for Generalized Rake combining or equalization combining, may be obtained efficiently from the intermediate combining weights through the use of weight scaling factors, which do account for channel reuse cross-stream interference. Moreover, in at least some instances, the intermediate combining weights are of interest. For example, signal quality estimates for one or both streams may be computed from the corresponding intermediate combining weights.
    • 根据本文教导的方法和装置,中间组合权重的计算考虑了两个接收信号流共同的损害相关,但不考虑归因于两个流之间的信道重用的交叉流干扰。 从中间组合权重的计算中排除对信道复用交叉串扰的考虑,简化了中间组合权重计算,提高了计算的鲁棒性。 此外,可以通过使用考虑到信道重用串流干扰的权重缩放因子从中间组合权重有效地获得诸如用于广义Rake组合或均衡组合的最终组合权重。 此外,在至少一些情况下,中间组合权重是令人感兴趣的。 例如,可以从相应的中间组合权重计算一个或两个流的信号质量估计。