A method of predicting future signals for wireless communications using echo state network
A technology of echo state network and wireless communication, applied in wireless communication, data exchange network, neural learning method, etc., can solve the problem of unpredictable future symbols, and achieve the solution of complex training algorithm, few training parameters and improve communication performance. Effect
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[0025] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0026] refer to Figure 1a , Figure 1b and figure 2 The working principle of the method of the present invention is that there are many sparse neurons in the dynamic reserve pool of the echo state network, which contains the operating state of the system and has a short-term memory function. First determine the parameters of the network, the number of input neurons is K; the number of neurons in the dynamic reserve pool is N, the number of output neurons is Q; the connection weight matrix input to the reserve pool is W in , the connection weight matrix of neurons in the dynamic reserve pool is a sparse matrix W. Then, the signal y(t) of the signal received in the wireless communication system after the matched filter is used as the input and output of the network; in the actual system, the oversampling rate of the signal is nbit=16; the t...
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