A Method for Predicting Future Signals in Wireless Communication Using Echo State Networks
An echo state network and wireless communication technology, applied in wireless communication, neural learning methods, biological neural network models, etc., can solve problems such as unpredictable future symbols, and achieve a low bit error rate, easy implementation, and resistance to intersymbol interference. 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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