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    • 5. 发明申请
    • WEIGHT PREDICTION FOR CLOSED-LOOP TRANSMIT DIVERSITY
    • 闭环传输重力的重量预测
    • WO2004073207A1
    • 2004-08-26
    • PCT/US2004/003903
    • 2004-02-09
    • QUALCOMM INCORPORATEDJOOTAR, JittraSHIU, Da-shanSUBRAHMANYA, Parvathanathan
    • JOOTAR, JittraSHIU, Da-shanSUBRAHMANYA, Parvathanathan
    • H04B7/06
    • H04B7/0634
    • Techniques for predicting weights used for closed-loop transmit diversity. In a channel prediction scheme, channel gains for multiple transmit antennas are initially estimated (e.g., based on pilots received from these antennas) and used to derive predicted channel gains for a future time instant. The predicted channel gains are then used to derive predicted weights that are deemed to be "optimal" at the future time instant. Optimality may be determined based on one or more criteria, such as maximizing a received SNR for the received signals. In a weight prediction scheme, the channel gains for the multiple antennas are estimated and used to compute optimal weights for the current time instant. The current optimal weights are then used to predict the optimal weights at the future time instant. For both schemes, the prediction may be performed based on an adaptive filter (e.g., LMS or RLS filter) or a non-adaptive filter.
    • 用于预测用于闭环发射分集的权重的技术。 在信道预测方案中,最初估计多个发射天线的信道增益(例如,基于从这些天线接收的导频),并用于在未来时刻导出预测的信道增益。 然后,预测的信道增益用于导出在未来时刻被认为是“最佳”的预测权重。 可以基于一个或多个准则来确定最优性,例如为接收到的信号最大化接收到的SNR。 在权重预测方案中,估计多个天线的信道增益并用于计算当前时刻的最优权重。 然后使用当前的最优权重来预测未来时刻的最优权重。 对于这两种方案,可以基于自适应滤波器(例如,LMS或RLS滤波器)或非自适应滤波器来执行预测。