Weight prediction for closed-loop mode transmit diversity

Details Weight prediction for closed-loop mode transmit diversity Weight prediction for closed-loop mode transmit diversity

2006-12-26

2006-12-26

Nguyen, Tony T. (Department: 2618)

Telecommunications

Transmitter

Diversity

C455S067110, C455S115100, C455S296000

Reexamination Certificate

active

07155177

ABSTRACT:
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.

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