Precoding method based on incomplete channel information in space correlation multiple inputs, single output (MISO) system
A spatial correlation and channel information technology, applied in the direction of space transmit diversity, diversity/multi-antenna system, advanced technology, etc., can solve the problems that the closed-form expression of power allocation is not given, the convergence speed is slow, and the processing time is prolonged. Achieve the effect of low cost, low complexity and low delay
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[0028] Step 1: Establish a system model and a corresponding channel model; establish a space-correlated wireless MISO (Multiple Input Single Output) communication system model, the system has M a transmitting antenna and a single receiving antenna, the corresponding channel model can be expressed as a channel matrix h={ h m}, which can be modeled as: , where h w is the randomly varying part of the channel, R t is the transmit antenna correlation matrix, representing the channel covariance matrix.
[0029] Step 2: Determine the effective signal-to-noise ratio of the system; from the received signal matrix, the effective signal-to-noise ratio at the receiving end can be obtained ,in: , is the average SNR (signal-to-noise ratio), u im is the element of the beamforming matrix U, r is the code rate of space-time coding. { P m , m =1, … , M} for M The power control of each eigenbeam satisfies the following power constraints: , P m 30.
[0030] Step 3: Determine...
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