Time-variant TDD-MIMO communication channel reciprocity compensation method based on channel prediction
A channel prediction and communication channel technology, applied in the field of communication, can solve the problems that TDD reciprocity cannot be effectively applied, cannot improve system capacity, and affect system performance, so as to save system overhead, improve system capacity, and reduce complexity.
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[0019] refer to figure 2 , the channel reciprocity compensation proposed by the present invention includes the following steps:
[0020] Step 1, the mobile station MS transmits a data frame to the base station BS, and the BS uses the received data frame to perform channel estimation.
[0021] Channel estimation uses the channel estimated by the MMSE method as the initial value of tracking. During the period of transmitting data, Kalman filtering or LMS algorithm is used for channel tracking to obtain the i-th (i=0, 1, ..., ∞) corresponding The uplink channel state matrix is H U(-i) .
[0022] Step 2, save the channel state matrix H corresponding to the previous K (1≤K≤3) uplink subframes estimated by the BS U(-i) (i=0, 1, . . . , (K-1)).
[0023] Step 3, BS according to the saved uplink channel matrix H corresponding to each uplink subframe U , use the AR model to predict the downlink channel state matrix of the first downlink subframe adjacent to the uplink subframe w...
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