A Quantum Computing Based Autoregressive Model Channel Prediction Method
An autoregressive model and quantum computing technology, applied in the field of parameter estimation of autoregressive models, can solve problems such as system performance loss and inaccuracy, and achieve the effect of reducing complexity
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[0053] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0054] Such as figure 1 As shown, the autoregressive model channel prediction method based on quantum computing of the present invention comprises the following steps:
[0055] Step 1. Obtain the known channel value and set the order p of the AR model. The channel value at the next moment is predicted according to the channel value known at the current moment.
[0056]
[0057] where p is the order of the AR model, c n -1,...c n-p is the known channel value, d j is the coefficient of the AR model.
[0058] Step 2, use the least squares method to solve the estimated values of the coefficients of the AR model Get the calculation formula;
[0059] Step 21: Estimate the coefficients of the AR model by least square estimation. When n≥p+1, the residual for
[0060]
[0061] where p is the order of the AR model, c n-1 ,... c n-p is the p...
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