A method of OFDM signal detection based on rnn neural network
A technology of signal detection and neural network, which is applied in the field of OFDM signal detection based on RNN neural network, can solve the problems such as the decrease of OFDM signal detection accuracy, achieve the effect of solving the problem of signal reception and improving the performance of spectrum detection
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[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention:
[0029] As can be seen from the accompanying drawings, the OFDM signal detection method based on the RNN neural network in this specific embodiment, the overall model structure of the RNN neural network detection model is as follows figure 1 As shown, the steps are as follows:
[0030] Step 1: Build the OFDM system framework.
[0031] OFDM symbols can be expressed as:
[0032]
[0033] In the formula, t s ≤t≤t s +T, N is the number of sub-channels, T is the OFDM symbol width, d i (i=1,...,N-1) is the data symbol of the subchannel, f c is the carrier frequency, at time t=t s start.
[0034] In the published literature, the mathematical expression of the equivalent baseband signal describing the OFDM output signal is:
[0035]
[0036] In the formula,...
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